slicescope resonant two-photon microscope Search Results


86
Scientifica photon microscope
Photon Microscope, supplied by Scientifica, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/microscope+upright/pm41436654-385-8-17
Average 86 stars, based on 1 article reviews
photon microscope - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

86
Scientifica two photon microscope
Two Photon Microscope, supplied by Scientifica, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/microscope+photon+two/aow_shao_zhong_jonathan__2014__metabotropic_nmda_receptor_signaling_during_synaptic_plasticity-249-8-10
Average 86 stars, based on 1 article reviews
two photon microscope - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

86
Scientifica microscope 107
Microscope 107, supplied by Scientifica, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/107+microscope/pmc08449340__pnas__2102635118__sapp-78-21-24
Average 86 stars, based on 1 article reviews
microscope 107 - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

86
Scientifica upright 908 microscope
Upright 908 Microscope, supplied by Scientifica, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/908+microscope+upright/10__21203_slash_rs__3__rs___6257403_slash_v1-469-40-44
Average 86 stars, based on 1 article reviews
upright 908 microscope - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

90
Hamamatsu gaasp photomultipliers
Gaasp Photomultipliers, supplied by Hamamatsu, 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/product/slicescope+resonant+two-photon+microscope/photomultiplier+tube+hamamatsu+r928/bio_rxiv__2025__07__10__664064-234-23-25
Average 90 stars, based on 1 article reviews
gaasp photomultipliers - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

99
Olympus bx51wi microscope
Bx51wi Microscope, supplied by Olympus, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/BX61WI%2FBX51WI+Fixed+Stage+Microscope/bio_rxiv__64898__2026__02__14__705915-255-13-15
Average 99 stars, based on 1 article reviews
bx51wi microscope - by Bioz Stars, 2026-10
99/100 stars
  Buy from Supplier

99
Nikon nikon 16 × 0 8 water
Nikon 16 × 0 8 Water, supplied by Nikon, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/Objectives/bio_rxiv__2023__09__03__556059-328-16-15
Average 99 stars, based on 1 article reviews
nikon 16 × 0 8 water - by Bioz Stars, 2026-10
99/100 stars
  Buy from Supplier

86
Scientifica minilfm device
Minilfm Device, supplied by Scientifica, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/device+minilfm/us11199691-534-2-13
Average 86 stars, based on 1 article reviews
minilfm device - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

99
Coherent Corp two photon excitation pulses
(a) Left column: Standard deviation (SD) images of simulated LFM movie containing temporally active neurons (top) and a single plane from reconstructed SD image (bottom). The brightness values (i.e., magnitude of SD of their activity) of neurons in the SD image is chosen such that dimmest (least active) neuron is 8 times dimmer than the brightest (most active) one (indicated by yellow double arrow). Right column: Same as left column with brightness scaled 5× for clarity. (b) Result of morphological segmentation (Supplementary Note 6) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is not segmented successfully and missed. (c) Result of NMF-based segmentation (Supplementary Note 7) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is segmented successfully and detected. (d) Runtime comparison of NMF- and morphology-based methods. The morphology-based method is faster by orders of magnitude as the input frame side length increases. (e) Comparison between “ground truth” CaImAn-based segmentation <t>of</t> <t>two-photon</t> microscopy data (first column) to segmentation results obtained from morphological segmentation (second column), NMF-based segmentation (third column), and the combination of both (fourth column), for two different depths (170 μm, top row. 300 μm, bottom row). The purely morphological segmentation approach performs well in segmenting neurons but sometimes misses very dim neurons in the temporal summary image (highlighted with pink arrows). The NMF-based approach on the other hand tends to detect dim neurons more reliably (pink arrows) but comes with the risk of mis-segmenting close-by neurons and assigning them to one component only (yellow arrows). Combining both methods lead to the best results but incurs the largest computational cost of the three approaches since NMF has to be run on the full frames. It should therefore only be used if maximal detection sensitivity is required or if only a subset of the full MesoLF FOV is being used.
Two Photon Excitation Pulses, supplied by Coherent Corp, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/slicescope+resonant+two-photon+microscope/Chameleon/pmc11057224-556-0-13
Average 99 stars, based on 1 article reviews
two photon excitation pulses - by Bioz Stars, 2026-10
99/100 stars
  Buy from Supplier

90
Becker & Hickl simple-tau spc-150 tcspc module
(a) Left column: Standard deviation (SD) images of simulated LFM movie containing temporally active neurons (top) and a single plane from reconstructed SD image (bottom). The brightness values (i.e., magnitude of SD of their activity) of neurons in the SD image is chosen such that dimmest (least active) neuron is 8 times dimmer than the brightest (most active) one (indicated by yellow double arrow). Right column: Same as left column with brightness scaled 5× for clarity. (b) Result of morphological segmentation (Supplementary Note 6) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is not segmented successfully and missed. (c) Result of NMF-based segmentation (Supplementary Note 7) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is segmented successfully and detected. (d) Runtime comparison of NMF- and morphology-based methods. The morphology-based method is faster by orders of magnitude as the input frame side length increases. (e) Comparison between “ground truth” CaImAn-based segmentation <t>of</t> <t>two-photon</t> microscopy data (first column) to segmentation results obtained from morphological segmentation (second column), NMF-based segmentation (third column), and the combination of both (fourth column), for two different depths (170 μm, top row. 300 μm, bottom row). The purely morphological segmentation approach performs well in segmenting neurons but sometimes misses very dim neurons in the temporal summary image (highlighted with pink arrows). The NMF-based approach on the other hand tends to detect dim neurons more reliably (pink arrows) but comes with the risk of mis-segmenting close-by neurons and assigning them to one component only (yellow arrows). Combining both methods lead to the best results but incurs the largest computational cost of the three approaches since NMF has to be run on the full frames. It should therefore only be used if maximal detection sensitivity is required or if only a subset of the full MesoLF FOV is being used.
Simple Tau Spc 150 Tcspc Module, supplied by Becker & Hickl, 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/product/slicescope+resonant+two-photon+microscope/tcspc+module/pm35443170-479-76-83
Average 90 stars, based on 1 article reviews
simple-tau spc-150 tcspc module - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

90
Becker & Hickl spcm64 software
(a) Left column: Standard deviation (SD) images of simulated LFM movie containing temporally active neurons (top) and a single plane from reconstructed SD image (bottom). The brightness values (i.e., magnitude of SD of their activity) of neurons in the SD image is chosen such that dimmest (least active) neuron is 8 times dimmer than the brightest (most active) one (indicated by yellow double arrow). Right column: Same as left column with brightness scaled 5× for clarity. (b) Result of morphological segmentation (Supplementary Note 6) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is not segmented successfully and missed. (c) Result of NMF-based segmentation (Supplementary Note 7) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is segmented successfully and detected. (d) Runtime comparison of NMF- and morphology-based methods. The morphology-based method is faster by orders of magnitude as the input frame side length increases. (e) Comparison between “ground truth” CaImAn-based segmentation <t>of</t> <t>two-photon</t> microscopy data (first column) to segmentation results obtained from morphological segmentation (second column), NMF-based segmentation (third column), and the combination of both (fourth column), for two different depths (170 μm, top row. 300 μm, bottom row). The purely morphological segmentation approach performs well in segmenting neurons but sometimes misses very dim neurons in the temporal summary image (highlighted with pink arrows). The NMF-based approach on the other hand tends to detect dim neurons more reliably (pink arrows) but comes with the risk of mis-segmenting close-by neurons and assigning them to one component only (yellow arrows). Combining both methods lead to the best results but incurs the largest computational cost of the three approaches since NMF has to be run on the full frames. It should therefore only be used if maximal detection sensitivity is required or if only a subset of the full MesoLF FOV is being used.
Spcm64 Software, supplied by Becker & Hickl, 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/product/slicescope+resonant+two-photon+microscope/spcm64/pm35443170-479-81-83
Average 90 stars, based on 1 article reviews
spcm64 software - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

90
US Biological Life Sciences ames
(a) Left column: Standard deviation (SD) images of simulated LFM movie containing temporally active neurons (top) and a single plane from reconstructed SD image (bottom). The brightness values (i.e., magnitude of SD of their activity) of neurons in the SD image is chosen such that dimmest (least active) neuron is 8 times dimmer than the brightest (most active) one (indicated by yellow double arrow). Right column: Same as left column with brightness scaled 5× for clarity. (b) Result of morphological segmentation (Supplementary Note 6) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is not segmented successfully and missed. (c) Result of NMF-based segmentation (Supplementary Note 7) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is segmented successfully and detected. (d) Runtime comparison of NMF- and morphology-based methods. The morphology-based method is faster by orders of magnitude as the input frame side length increases. (e) Comparison between “ground truth” CaImAn-based segmentation <t>of</t> <t>two-photon</t> microscopy data (first column) to segmentation results obtained from morphological segmentation (second column), NMF-based segmentation (third column), and the combination of both (fourth column), for two different depths (170 μm, top row. 300 μm, bottom row). The purely morphological segmentation approach performs well in segmenting neurons but sometimes misses very dim neurons in the temporal summary image (highlighted with pink arrows). The NMF-based approach on the other hand tends to detect dim neurons more reliably (pink arrows) but comes with the risk of mis-segmenting close-by neurons and assigning them to one component only (yellow arrows). Combining both methods lead to the best results but incurs the largest computational cost of the three approaches since NMF has to be run on the full frames. It should therefore only be used if maximal detection sensitivity is required or if only a subset of the full MesoLF FOV is being used.
Ames, supplied by US Biological Life Sciences, 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/product/slicescope+resonant+two-photon+microscope/ames/pmc06317889-816-75-80
Average 90 stars, based on 1 article reviews
ames - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

Image Search Results


(a) Left column: Standard deviation (SD) images of simulated LFM movie containing temporally active neurons (top) and a single plane from reconstructed SD image (bottom). The brightness values (i.e., magnitude of SD of their activity) of neurons in the SD image is chosen such that dimmest (least active) neuron is 8 times dimmer than the brightest (most active) one (indicated by yellow double arrow). Right column: Same as left column with brightness scaled 5× for clarity. (b) Result of morphological segmentation (Supplementary Note 6) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is not segmented successfully and missed. (c) Result of NMF-based segmentation (Supplementary Note 7) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is segmented successfully and detected. (d) Runtime comparison of NMF- and morphology-based methods. The morphology-based method is faster by orders of magnitude as the input frame side length increases. (e) Comparison between “ground truth” CaImAn-based segmentation of two-photon microscopy data (first column) to segmentation results obtained from morphological segmentation (second column), NMF-based segmentation (third column), and the combination of both (fourth column), for two different depths (170 μm, top row. 300 μm, bottom row). The purely morphological segmentation approach performs well in segmenting neurons but sometimes misses very dim neurons in the temporal summary image (highlighted with pink arrows). The NMF-based approach on the other hand tends to detect dim neurons more reliably (pink arrows) but comes with the risk of mis-segmenting close-by neurons and assigning them to one component only (yellow arrows). Combining both methods lead to the best results but incurs the largest computational cost of the three approaches since NMF has to be run on the full frames. It should therefore only be used if maximal detection sensitivity is required or if only a subset of the full MesoLF FOV is being used.

Journal: Nature methods

Article Title: Mesoscale volumetric light field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz

doi: 10.1038/s41592-023-01789-z

Figure Lengend Snippet: (a) Left column: Standard deviation (SD) images of simulated LFM movie containing temporally active neurons (top) and a single plane from reconstructed SD image (bottom). The brightness values (i.e., magnitude of SD of their activity) of neurons in the SD image is chosen such that dimmest (least active) neuron is 8 times dimmer than the brightest (most active) one (indicated by yellow double arrow). Right column: Same as left column with brightness scaled 5× for clarity. (b) Result of morphological segmentation (Supplementary Note 6) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is not segmented successfully and missed. (c) Result of NMF-based segmentation (Supplementary Note 7) applied to simulated data shown in (a). Individual segments highlighted in different colors. Dimmest neuron (yellow arow) is segmented successfully and detected. (d) Runtime comparison of NMF- and morphology-based methods. The morphology-based method is faster by orders of magnitude as the input frame side length increases. (e) Comparison between “ground truth” CaImAn-based segmentation of two-photon microscopy data (first column) to segmentation results obtained from morphological segmentation (second column), NMF-based segmentation (third column), and the combination of both (fourth column), for two different depths (170 μm, top row. 300 μm, bottom row). The purely morphological segmentation approach performs well in segmenting neurons but sometimes misses very dim neurons in the temporal summary image (highlighted with pink arrows). The NMF-based approach on the other hand tends to detect dim neurons more reliably (pink arrows) but comes with the risk of mis-segmenting close-by neurons and assigning them to one component only (yellow arrows). Combining both methods lead to the best results but incurs the largest computational cost of the three approaches since NMF has to be run on the full frames. It should therefore only be used if maximal detection sensitivity is required or if only a subset of the full MesoLF FOV is being used.

Article Snippet: Two-photon excitation pulses (920 nm, 140 fs pulse duration, 80 MHz pulse rate, Coherent Chameleon) were focused into mouse cortex and scanned in planes parallel to the cranial window at a series of depths, via the Slicescope’s galvo-galvo scan path and a Nikon 16×/0.8NA objective mounted on a motorized stage that allowed for axial translation.

Techniques: Standard Deviation, Activity Assay, Comparison, Microscopy