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MBF Bioscience neurolucida 360
Inspection of dendritic segment thickness ( A ) <t>Neurolucida</t> 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
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Images

1) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

2) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

3) Product Images from "Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β"

Article Title: Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β

Journal: Science signaling

doi: 10.1126/scisignal.aaw9318

ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A)  Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures.  (B)  Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P
Figure Legend Snippet: ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A) Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures. (B) Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P

Techniques Used: Expressing, Plasmid Preparation, Generated, Transfection

4) Product Images from "DiI-mediated analysis of pre- and postsynaptic structures in human postmortem brain tissue"

Article Title: DiI-mediated analysis of pre- and postsynaptic structures in human postmortem brain tissue

Journal: bioRxiv

doi: 10.1101/558817

DG mossy fiber bouton morphology changes with age in human post-mortem tissue. (a, d, g) Deconvolved images of mossy fiber boutons from human postmortem tissue. (b, e, h) 3D Neurolucida 360 models of mossy fiber boutons shown in (a, d, g). (c, f, i) Tracings of maximum z projections from confocal images of mossy fiber boutons. Shown are numerous representative boutons from brains in the indicated age ranges of
Figure Legend Snippet: DG mossy fiber bouton morphology changes with age in human post-mortem tissue. (a, d, g) Deconvolved images of mossy fiber boutons from human postmortem tissue. (b, e, h) 3D Neurolucida 360 models of mossy fiber boutons shown in (a, d, g). (c, f, i) Tracings of maximum z projections from confocal images of mossy fiber boutons. Shown are numerous representative boutons from brains in the indicated age ranges of

Techniques Used:

5) Product Images from "Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus"

Article Title: Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus

Journal: bioRxiv

doi: 10.1101/2022.09.18.508423

Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element.  A)  Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma.  B)  Same data as  A  but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.
Figure Legend Snippet: Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element. A) Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma. B) Same data as A but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.

Techniques Used:

6) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

7) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

8) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

9) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

10) Product Images from "Spatial Memory and Microglia Activation in a Mouse Model of Chronic Neuroinflammation and the Anti-inflammatory Effects of Apigenin"

Article Title: Spatial Memory and Microglia Activation in a Mouse Model of Chronic Neuroinflammation and the Anti-inflammatory Effects of Apigenin

Journal: Frontiers in Neuroscience

doi: 10.3389/fnins.2021.699329

Representative confocal images of reconstructed microglia from WT standard diet-fed  (A,B) , GFAP-IL6 standard diet-fed  (C,D) , WT apigenin-fed  (E,F) , and GFAP-IL6 apigenin-fed  (G,H)  cohorts. The extended depth of focus images obtained from collapsing 3D confocal microscopy images of Iba-1 +  microglia obtained under 63× oil immersion objective, along with the corresponding manually reconstructed images in Neurolucida 360. GFAP-IL6 mice (apigenin diet)  (G,H)  had a significantly reduced soma area, soma perimeter and a larger number of nodes than that of GFAP-IL6 mice (standard diet)  (C,D) . (Scale bar 10 μm).
Figure Legend Snippet: Representative confocal images of reconstructed microglia from WT standard diet-fed (A,B) , GFAP-IL6 standard diet-fed (C,D) , WT apigenin-fed (E,F) , and GFAP-IL6 apigenin-fed (G,H) cohorts. The extended depth of focus images obtained from collapsing 3D confocal microscopy images of Iba-1 + microglia obtained under 63× oil immersion objective, along with the corresponding manually reconstructed images in Neurolucida 360. GFAP-IL6 mice (apigenin diet) (G,H) had a significantly reduced soma area, soma perimeter and a larger number of nodes than that of GFAP-IL6 mice (standard diet) (C,D) . (Scale bar 10 μm).

Techniques Used: Confocal Microscopy, Mouse Assay

11) Product Images from "Morphometric analysis of astrocytes in brainstem respiratory regions, et al. Morphometric analysis of astrocytes in brainstem respiratory regions"

Article Title: Morphometric analysis of astrocytes in brainstem respiratory regions, et al. Morphometric analysis of astrocytes in brainstem respiratory regions

Journal: The Journal of Comparative Neurology

doi: 10.1002/cne.24472

Antibody validation and morphometric analysis of brainstem astrocytes.  (a–c) PreBötC GFAP‐positive astrocytes immunostained with rabbit anti‐GFAP polyclonal antibody (green; a) and mouse anti‐GFAP monoclonal antibody (red; b). Merged low magnification and high magnification (inset scale bar: 50 μm) images (c) illustrates colocalization of antibody labeling. (d) 2D maximum projection image of individual astrocyte (blue), morphologically reconstructed in 3D using Neurolucida 360, within the field of astrocytes identified by GFAP immunoreactivity (green; RRID:  http://scicrunch.org/resolver/AB-10013382 ) in the preBötC region. Maximum projection image of astrocyte field and reconstructed astrocyte was rendered from Z stack of confocal images. (e) Sholl analysis to characterize astrocyte arbour complexity, including number of processes, process lengths, and number of branch points, was performed by applying nested concentric spheres increasing in size by a constant change in radius (5 μm increments) from the center of the astroglial soma (maximum projection image shown, and see Section 2.6 for detail). (f) Convex hull analysis was performed by connecting the tips of distal processes (terminal points) to generate a convex polygon (projection image shown) to determine the volume and surface area of the physical space occupied by the polygon (see Section 2.6)
Figure Legend Snippet: Antibody validation and morphometric analysis of brainstem astrocytes. (a–c) PreBötC GFAP‐positive astrocytes immunostained with rabbit anti‐GFAP polyclonal antibody (green; a) and mouse anti‐GFAP monoclonal antibody (red; b). Merged low magnification and high magnification (inset scale bar: 50 μm) images (c) illustrates colocalization of antibody labeling. (d) 2D maximum projection image of individual astrocyte (blue), morphologically reconstructed in 3D using Neurolucida 360, within the field of astrocytes identified by GFAP immunoreactivity (green; RRID: http://scicrunch.org/resolver/AB-10013382 ) in the preBötC region. Maximum projection image of astrocyte field and reconstructed astrocyte was rendered from Z stack of confocal images. (e) Sholl analysis to characterize astrocyte arbour complexity, including number of processes, process lengths, and number of branch points, was performed by applying nested concentric spheres increasing in size by a constant change in radius (5 μm increments) from the center of the astroglial soma (maximum projection image shown, and see Section 2.6 for detail). (f) Convex hull analysis was performed by connecting the tips of distal processes (terminal points) to generate a convex polygon (projection image shown) to determine the volume and surface area of the physical space occupied by the polygon (see Section 2.6)

Techniques Used: Antibody Labeling

12) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

13) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

14) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

15) Product Images from "Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus"

Article Title: Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus

Journal: bioRxiv

doi: 10.1101/2022.09.18.508423

Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element.  A)  Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma.  B)  Same data as  A  but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.
Figure Legend Snippet: Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element. A) Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma. B) Same data as A but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.

Techniques Used:

16) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

17) Product Images from "Differential Activity-Dependent Scaling of Synaptic Inhibition and Parvalbumin Interneuron Recruitment in Dentate Projection Neuron Subtypes"

Article Title: Differential Activity-Dependent Scaling of Synaptic Inhibition and Parvalbumin Interneuron Recruitment in Dentate Projection Neuron Subtypes

Journal: bioRxiv

doi: 10.1101/2021.05.18.444756

Morphological and physiological characteristics of murine GCs and SGCs. A. Overlay of confocal image and Neurolucida 360 reconstruction of a biocytin filled GC (left) and SGC (right) show dendritic arbors and axon projection towards CA3. Cyan: axons; Orange, Green, Yellow: dendritic trees. B-G. Summary plots of morphological parameters including number of primary dendrites (B), dendritic angle (C), soma aspect ratio (D), dendritic complexity (E), dendritic total length (F) and total number of dendritic ends (G) between GCs (n=10) and SGCs (n=8). H. Voltage traces in response to +70 pA and -100 pA current injections in a GC (left) and SGC (right) illustrate firing pattern and passive properties. I. Summary plot of firing frequency in response to increasing current injections in GCs (n=8) and SGCs (n=10). J-K. Summary histogram of input resistance (measured from response to -100 pA), (J) and spike frequency adaptation ratio (K) in GCs (n=18) and SGCs (n=19). Data presented as mean±sem. * indicates p
Figure Legend Snippet: Morphological and physiological characteristics of murine GCs and SGCs. A. Overlay of confocal image and Neurolucida 360 reconstruction of a biocytin filled GC (left) and SGC (right) show dendritic arbors and axon projection towards CA3. Cyan: axons; Orange, Green, Yellow: dendritic trees. B-G. Summary plots of morphological parameters including number of primary dendrites (B), dendritic angle (C), soma aspect ratio (D), dendritic complexity (E), dendritic total length (F) and total number of dendritic ends (G) between GCs (n=10) and SGCs (n=8). H. Voltage traces in response to +70 pA and -100 pA current injections in a GC (left) and SGC (right) illustrate firing pattern and passive properties. I. Summary plot of firing frequency in response to increasing current injections in GCs (n=8) and SGCs (n=10). J-K. Summary histogram of input resistance (measured from response to -100 pA), (J) and spike frequency adaptation ratio (K) in GCs (n=18) and SGCs (n=19). Data presented as mean±sem. * indicates p

Techniques Used:

18) Product Images from "Morphometric analysis of astrocytes in brainstem respiratory regions, et al. Morphometric analysis of astrocytes in brainstem respiratory regions"

Article Title: Morphometric analysis of astrocytes in brainstem respiratory regions, et al. Morphometric analysis of astrocytes in brainstem respiratory regions

Journal: The Journal of Comparative Neurology

doi: 10.1002/cne.24472

Antibody validation and morphometric analysis of brainstem astrocytes.  (a–c) PreBötC GFAP‐positive astrocytes immunostained with rabbit anti‐GFAP polyclonal antibody (green; a) and mouse anti‐GFAP monoclonal antibody (red; b). Merged low magnification and high magnification (inset scale bar: 50 μm) images (c) illustrates colocalization of antibody labeling. (d) 2D maximum projection image of individual astrocyte (blue), morphologically reconstructed in 3D using Neurolucida 360, within the field of astrocytes identified by GFAP immunoreactivity (green; RRID:  http://scicrunch.org/resolver/AB-10013382 ) in the preBötC region. Maximum projection image of astrocyte field and reconstructed astrocyte was rendered from Z stack of confocal images. (e) Sholl analysis to characterize astrocyte arbour complexity, including number of processes, process lengths, and number of branch points, was performed by applying nested concentric spheres increasing in size by a constant change in radius (5 μm increments) from the center of the astroglial soma (maximum projection image shown, and see Section 2.6 for detail). (f) Convex hull analysis was performed by connecting the tips of distal processes (terminal points) to generate a convex polygon (projection image shown) to determine the volume and surface area of the physical space occupied by the polygon (see Section 2.6)
Figure Legend Snippet: Antibody validation and morphometric analysis of brainstem astrocytes. (a–c) PreBötC GFAP‐positive astrocytes immunostained with rabbit anti‐GFAP polyclonal antibody (green; a) and mouse anti‐GFAP monoclonal antibody (red; b). Merged low magnification and high magnification (inset scale bar: 50 μm) images (c) illustrates colocalization of antibody labeling. (d) 2D maximum projection image of individual astrocyte (blue), morphologically reconstructed in 3D using Neurolucida 360, within the field of astrocytes identified by GFAP immunoreactivity (green; RRID: http://scicrunch.org/resolver/AB-10013382 ) in the preBötC region. Maximum projection image of astrocyte field and reconstructed astrocyte was rendered from Z stack of confocal images. (e) Sholl analysis to characterize astrocyte arbour complexity, including number of processes, process lengths, and number of branch points, was performed by applying nested concentric spheres increasing in size by a constant change in radius (5 μm increments) from the center of the astroglial soma (maximum projection image shown, and see Section 2.6 for detail). (f) Convex hull analysis was performed by connecting the tips of distal processes (terminal points) to generate a convex polygon (projection image shown) to determine the volume and surface area of the physical space occupied by the polygon (see Section 2.6)

Techniques Used: Antibody Labeling

19) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

20) Product Images from "Unraveling Individual Differences In The HIV-1 Transgenic Rat: Therapeutic Efficacy Of Methylphenidate"

Article Title: Unraveling Individual Differences In The HIV-1 Transgenic Rat: Therapeutic Efficacy Of Methylphenidate

Journal: Scientific Reports

doi: 10.1038/s41598-017-18300-2

DiOlistic labeling of pyramidal neurons in layers II-III medial prefrontal cortex (mPFC). Pyramidal neurons in both control ( A ) and HIV-1 Tg ( B ) were characterized by one large apical dendrite and several smaller basal dendrites  55 . HIV-1 Tg animals ( D ) exhibited a population shift towards longer dendritic spines with decreased head diameter relative to control animals ( C ). The inset shows the tracing and classification of dendritic spines on Neurolucida 360.
Figure Legend Snippet: DiOlistic labeling of pyramidal neurons in layers II-III medial prefrontal cortex (mPFC). Pyramidal neurons in both control ( A ) and HIV-1 Tg ( B ) were characterized by one large apical dendrite and several smaller basal dendrites 55 . HIV-1 Tg animals ( D ) exhibited a population shift towards longer dendritic spines with decreased head diameter relative to control animals ( C ). The inset shows the tracing and classification of dendritic spines on Neurolucida 360.

Techniques Used: Labeling

21) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

22) Product Images from "Differential Activity-Dependent Increase in Synaptic Inhibition and Parvalbumin Interneuron Recruitment in Dentate Granule Cells and Semilunar Granule Cells"

Article Title: Differential Activity-Dependent Increase in Synaptic Inhibition and Parvalbumin Interneuron Recruitment in Dentate Granule Cells and Semilunar Granule Cells

Journal: bioRxiv

doi: 10.1101/2021.05.18.444756

Morphological and physiological characteristics of GCs and SGCs in mice. A-B. Overlay of confocal image and Neurolucida 360 reconstruction of a biocytin filled GC (A) and SGC (B) show dendritic arbors and axon projection towards CA3. Cyan: axons; Orange, Green, Yellow: dendritic trees. C-H. Summary plots of morphological parameters including number of primary dendrites (C), dendritic angle (D), soma aspect ratio (E), dendritic complexity (F), dendritic total length (G) and total number of dendritic ends (H) between GCs (n=10) and SGCs (n=8). I. Voltage traces in response to +70 pA and −100 pA current injections in a GC (left) and SGC (right) illustrate firing pattern and passive properties. J. Summary plot of firing frequency in response to increasing current injections in GCs (n=8) and SGCs (n=10). K-L. Summary histogram of input resistance (measured from response to −100 pA), (K) and spike frequency adaptation ratio (L) in GCs (n=18) and SGCs (n=19). Data presented as mean±sem. * indicates p
Figure Legend Snippet: Morphological and physiological characteristics of GCs and SGCs in mice. A-B. Overlay of confocal image and Neurolucida 360 reconstruction of a biocytin filled GC (A) and SGC (B) show dendritic arbors and axon projection towards CA3. Cyan: axons; Orange, Green, Yellow: dendritic trees. C-H. Summary plots of morphological parameters including number of primary dendrites (C), dendritic angle (D), soma aspect ratio (E), dendritic complexity (F), dendritic total length (G) and total number of dendritic ends (H) between GCs (n=10) and SGCs (n=8). I. Voltage traces in response to +70 pA and −100 pA current injections in a GC (left) and SGC (right) illustrate firing pattern and passive properties. J. Summary plot of firing frequency in response to increasing current injections in GCs (n=8) and SGCs (n=10). K-L. Summary histogram of input resistance (measured from response to −100 pA), (K) and spike frequency adaptation ratio (L) in GCs (n=18) and SGCs (n=19). Data presented as mean±sem. * indicates p

Techniques Used: Mouse Assay

23) Product Images from "Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus"

Article Title: Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus

Journal: bioRxiv

doi: 10.1101/2022.09.18.508423

Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element.  A)  Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma.  B)  Same data as  A  but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.
Figure Legend Snippet: Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element. A) Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma. B) Same data as A but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.

Techniques Used:

24) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

25) Product Images from "Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus"

Article Title: Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus

Journal: bioRxiv

doi: 10.1101/2022.09.18.508423

Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element.  A)  Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma.  B)  Same data as  A  but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.
Figure Legend Snippet: Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element. A) Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma. B) Same data as A but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.

Techniques Used:

26) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

27) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

28) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

29) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

30) Product Images from "Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β"

Article Title: Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β

Journal: Science signaling

doi: 10.1126/scisignal.aaw9318

ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A)  Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures.  (B)  Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P
Figure Legend Snippet: ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A) Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures. (B) Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P

Techniques Used: Expressing, Plasmid Preparation, Generated, Transfection

31) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

32) Product Images from "Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β"

Article Title: Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β

Journal: Science signaling

doi: 10.1126/scisignal.aaw9318

ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A)  Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures.  (B)  Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P
Figure Legend Snippet: ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A) Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures. (B) Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P

Techniques Used: Expressing, Plasmid Preparation, Generated, Transfection

33) Product Images from "Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus"

Article Title: Cholinergic boutons are distributed along the dendrites and somata of VIP neurons in the inferior colliculus

Journal: bioRxiv

doi: 10.1101/2022.09.18.508423

Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element.  A)  Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma.  B)  Same data as  A  but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.
Figure Legend Snippet: Multiple cholinergic puncta were found in close apposition to each VIP neuron soma and dendritic segment VIP neuron somata and dendritic segments were reconstructed in Neurolucida 360, and a puncta detection algorithm was used to detect VAChT+ puncta located within 2 μm of each reconstructed element. A) Total VAChT+ puncta counts for the somata and dendritic segments reconstructed from 17 regions of interest. Each region of interest contained only one VIP neuron soma. B) Same data as A but the dendritic puncta counts were normalized to 100 μm of dendritic length to facilitate comparisons across regions of interest, which varied in the total dendritic length they contained.

Techniques Used:

34) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

35) Product Images from "Automatic dendritic spine quantification from confocal data with Neurolucida 360"

Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

Journal: Current protocols in neuroscience

doi: 10.1002/cpns.16

Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
Figure Legend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

Techniques Used:

Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.
Figure Legend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

Techniques Used:

Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.
Figure Legend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

Techniques Used: Labeling, Microscopy

36) Product Images from "Unraveling Individual Differences In The HIV-1 Transgenic Rat: Therapeutic Efficacy Of Methylphenidate"

Article Title: Unraveling Individual Differences In The HIV-1 Transgenic Rat: Therapeutic Efficacy Of Methylphenidate

Journal: Scientific Reports

doi: 10.1038/s41598-017-18300-2

DiOlistic labeling of pyramidal neurons in layers II-III medial prefrontal cortex (mPFC). Pyramidal neurons in both control ( A ) and HIV-1 Tg ( B  . HIV-1 Tg animals ( D ) exhibited a population shift towards longer dendritic spines with decreased head diameter relative to control animals ( C ). The inset shows the tracing and classification of dendritic spines on Neurolucida 360.
Figure Legend Snippet: DiOlistic labeling of pyramidal neurons in layers II-III medial prefrontal cortex (mPFC). Pyramidal neurons in both control ( A ) and HIV-1 Tg ( B . HIV-1 Tg animals ( D ) exhibited a population shift towards longer dendritic spines with decreased head diameter relative to control animals ( C ). The inset shows the tracing and classification of dendritic spines on Neurolucida 360.

Techniques Used: Labeling

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    MBF Bioscience neurolucida 360
    Inspection of dendritic segment thickness ( A ) <t>Neurolucida</t> 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.
    Neurolucida 360, supplied by MBF Bioscience, used in various techniques. Bioz Stars score: 88/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/neurolucida 360/product/MBF Bioscience
    Average 88 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    neurolucida 360 - by Bioz Stars, 2022-10
    88/100 stars
      Buy from Supplier

    90
    MBF Bioscience software neurolucida 360
    Deletion of Sp8 in the medial SVZ affects the maturation and survival of CalR+ PG interneurons. ( A , B ) Illustration of GFP+ migrating neuroblasts in the RMS in control and cKO Sp8 brains at 10 days post medial EPO. Scale bar: 200 µm. ( C , D ) Quantification of GFP+ neuroblasts in the RMS at 4 dpe ( C ) and 10 dpe ( D ) after permanent Sp8 deletion in medial NSCs. ( E , G ) Immunostaining for GFP+ labelled neurons expressing CalR in the GL. Scale bar: 20 µm. ( H ) Quantification of the proportion of GFP+/CalR+ in control and following Sp8 deletion. ( I – L ) Representative confocal picture of CalR+/Sp8+ ( I ) and CalR+/Sp8− PG interneurons ( L ). Scale bars: 10 µm. ( J , K ) 3D reconstruction of the CalR+ interneuron shown in I with the software <t>Neurolucida</t> 360 ( J ). A sholl analysis was performed by counting the number of dendrite intersections with concentric circles separated from each other by 5 µm radius ( K , see also panel N). ( M ) Measurement of CalR+ and non-CalR+ PG interneurons soma size in controls and following permanent Sp8 deletion. ( N ) Sholl analysis of control and Sp8 cKO CalR+ interneurons. Error bars represent the standard error of the mean; *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001 determined by unpaired t-test.
    Software Neurolucida 360, supplied by MBF Bioscience, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/software neurolucida 360/product/MBF Bioscience
    Average 90 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    software neurolucida 360 - by Bioz Stars, 2022-10
    90/100 stars
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    Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

    Journal: Current protocols in neuroscience

    Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

    doi: 10.1002/cpns.16

    Figure Lengend Snippet: Inspection of dendritic segment thickness ( A ) Neurolucida 360 showing inspection and correction of points (green) from the dendritic branch (yellow) that were drawn off center by the large spine (arrow). ( B ) To edit, view the branch in point mode, select the point, and move it to the correct, centered location on the dendritic branch. Scale bar = 0.5 µm.

    Article Snippet: Automatic dendritic spine analysis with Neurolucida 360 requires less than 1 minute for branch reconstruction.

    Techniques:

    Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

    Journal: Current protocols in neuroscience

    Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

    doi: 10.1002/cpns.16

    Figure Lengend Snippet: Representation of dendritic spines in Neurolucida 360 The dendritic spine is modeled with a mesh to represent the surface and volume of the spine ( A ). The spine backbone ( B ) is represented with five points. The most distal point in the backbone indicates the furthest voxel from the dendritic surface, the centroid of the spine head (green) is the second point, and the last point represents where the spine connects with the dendrite. The shape of the dendritic spine is more accurately modeled, leading to better metrics and more complex spine classes. Spines can be re-assigned to nearby branches by dragging the last point from the original dendrite location to the desired location on the alternate branch.

    Article Snippet: Automatic dendritic spine analysis with Neurolucida 360 requires less than 1 minute for branch reconstruction.

    Techniques:

    Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

    Journal: Current protocols in neuroscience

    Article Title: Automatic dendritic spine quantification from confocal data with Neurolucida 360

    doi: 10.1002/cpns.16

    Figure Lengend Snippet: Complete neuron image montage of a hippocampal pyramidal neuron acquired after whole-cell recording A single image was created using Neurolucida 360 to montage multiple 3D images of a mouse hippocampal pyramidal neuron labeled with biocytin. Multiple 2-channel z-series images were collected with a Zeiss LSM 710 confocal microscope, mounted on an AxioImager Z2, with a 20× Plan-apochromat objective, and a 25 mW multi-wavelength (458/488/514) argon laser and a 20 mW 561 nm diode DPSS laser (Alexa-549 displayed here). Dr. Piskorowski provided the image data from an experiment performed by Vincent Robert and Ludivine Therreau in accordance with European guidelines for the care and use of laboratory animals at the Université Paris Descartes. Note: this neuron was not imaged at a resolution high enough for concurrent spine analysis. Scale bar = 100 µm.

    Article Snippet: Automatic dendritic spine analysis with Neurolucida 360 requires less than 1 minute for branch reconstruction.

    Techniques: Labeling, Microscopy

    ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A)  Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures.  (B)  Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P

    Journal: Science signaling

    Article Title: Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against amyloid-β

    doi: 10.1126/scisignal.aaw9318

    Figure Lengend Snippet: ROCK1 and ROCK2 regulate dendritic spine length and density through isoform-specific mechanisms. (A) Representative maximum-intensity widefield fluorescent images, after deconvolution, of hippocampal neurons expressing vector, ROCK1 or ROCK2 compared with the Lifeact-GFP control (top). Scale bar, 5 μm. Three-dimensional digital reconstructions of dendrites (bottom). Reconstructions were generated in Neurolucida 360. N=10–17 neurons (one dendrite per neuron) were analyzed per experimental condition in 3 independent cultures. (B) Dendritic spine length in hippocampal neurons expressing vector, wild-type human ROCK1, or ROCK1-L105G, and treated with blebbistatin or SR7826. Controls were transfected with Lifeact-GFP and treated with DMSO. Data are means ± SEM of 3 experiments. ****P

    Article Snippet: Deconvolved image stacks were imported into Neurolucida 360, and the full dendrite length was traced with semi-automatic directional kernel algorithm.

    Techniques: Expressing, Plasmid Preparation, Generated, Transfection

    Deletion of Sp8 in the medial SVZ affects the maturation and survival of CalR+ PG interneurons. ( A , B ) Illustration of GFP+ migrating neuroblasts in the RMS in control and cKO Sp8 brains at 10 days post medial EPO. Scale bar: 200 µm. ( C , D ) Quantification of GFP+ neuroblasts in the RMS at 4 dpe ( C ) and 10 dpe ( D ) after permanent Sp8 deletion in medial NSCs. ( E , G ) Immunostaining for GFP+ labelled neurons expressing CalR in the GL. Scale bar: 20 µm. ( H ) Quantification of the proportion of GFP+/CalR+ in control and following Sp8 deletion. ( I – L ) Representative confocal picture of CalR+/Sp8+ ( I ) and CalR+/Sp8− PG interneurons ( L ). Scale bars: 10 µm. ( J , K ) 3D reconstruction of the CalR+ interneuron shown in I with the software Neurolucida 360 ( J ). A sholl analysis was performed by counting the number of dendrite intersections with concentric circles separated from each other by 5 µm radius ( K , see also panel N). ( M ) Measurement of CalR+ and non-CalR+ PG interneurons soma size in controls and following permanent Sp8 deletion. ( N ) Sholl analysis of control and Sp8 cKO CalR+ interneurons. Error bars represent the standard error of the mean; *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001 determined by unpaired t-test.

    Journal: Scientific Reports

    Article Title: A dual role for the transcription factor Sp8 in postnatal neurogenesis

    doi: 10.1038/s41598-018-32134-6

    Figure Lengend Snippet: Deletion of Sp8 in the medial SVZ affects the maturation and survival of CalR+ PG interneurons. ( A , B ) Illustration of GFP+ migrating neuroblasts in the RMS in control and cKO Sp8 brains at 10 days post medial EPO. Scale bar: 200 µm. ( C , D ) Quantification of GFP+ neuroblasts in the RMS at 4 dpe ( C ) and 10 dpe ( D ) after permanent Sp8 deletion in medial NSCs. ( E , G ) Immunostaining for GFP+ labelled neurons expressing CalR in the GL. Scale bar: 20 µm. ( H ) Quantification of the proportion of GFP+/CalR+ in control and following Sp8 deletion. ( I – L ) Representative confocal picture of CalR+/Sp8+ ( I ) and CalR+/Sp8− PG interneurons ( L ). Scale bars: 10 µm. ( J , K ) 3D reconstruction of the CalR+ interneuron shown in I with the software Neurolucida 360 ( J ). A sholl analysis was performed by counting the number of dendrite intersections with concentric circles separated from each other by 5 µm radius ( K , see also panel N). ( M ) Measurement of CalR+ and non-CalR+ PG interneurons soma size in controls and following permanent Sp8 deletion. ( N ) Sholl analysis of control and Sp8 cKO CalR+ interneurons. Error bars represent the standard error of the mean; *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001 determined by unpaired t-test.

    Article Snippet: For 3D neurons reconstruction, 0.3 µm stack images were taken with a confocal microscope and 3D reconstruction were performed and analysed with the software Neurolucida 360 (MBF Bioscience, Vermont, USA).

    Techniques: Immunostaining, Expressing, Software