matlab co-localization plug-in Search Results


99
Oxford Instruments surface surface colocalization
Surface Surface Colocalization, supplied by Oxford Instruments, 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/result/surface surface colocalization/product/Oxford Instruments
Average 99 stars, based on 1 article reviews
surface surface colocalization - by Bioz Stars, 2026-04
99/100 stars
  Buy from Supplier

90
MathWorks Inc matlab co-localization plug-in
Matlab Co Localization Plug In, supplied by MathWorks Inc, 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/matlab co-localization plug-in/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab co-localization plug-in - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc spots colocalize matlab plugin
Spots Colocalize Matlab Plugin, supplied by MathWorks Inc, 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/spots colocalize matlab plugin/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
spots colocalize matlab plugin - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc plugin surface-surface colocalization
Plugin Surface Surface Colocalization, supplied by MathWorks Inc, 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/plugin surface-surface colocalization/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
plugin surface-surface colocalization - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc matlab-implemented colocalize spots plug-in
Matlab Implemented Colocalize Spots Plug In, supplied by MathWorks Inc, 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/matlab-implemented colocalize spots plug-in/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab-implemented colocalize spots plug-in - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc plug-in colocalize spots
Plug In Colocalize Spots, supplied by MathWorks Inc, 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/plug-in colocalize spots/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
plug-in colocalize spots - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc imaris plug-in ‘co-localize spots’ function
Imaris Plug In ‘Co Localize Spots’ Function, supplied by MathWorks Inc, 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/imaris plug-in ‘co-localize spots’ function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
imaris plug-in ‘co-localize spots’ function - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc co-localize spots matlab plugin
Co Localize Spots Matlab Plugin, supplied by MathWorks Inc, 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/co-localize spots matlab plugin/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
co-localize spots matlab plugin - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc co-localize spots
Co Localize Spots, supplied by MathWorks Inc, 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/co-localize spots/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
co-localize spots - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc spotnik
Computational analysis of Me31B colocalization with P-body proteins in somatic and synaptic foci . (A) Stages of image processing during automated detection of immunostained puncta (see ). The original image (i) is transformed into a mesh-plot (ii). The local background (iii) is subtracted from this image to yield image (iv). Each object in this background-subtracted image is fit to Gaussian parameters using an SMEM (Split-Merge Estimation-Maximization) technique and the result (v) is used as a mask to analyze underlying spots in the original image (vi). (B–D) Quantified colocalization of Dcp1, Pcm, and Staufen with Me31B. The graphs plot cumulative fraction of Dcp1, Pcm, or Stau positive particles found within a specific distance from the closest Me31B containing particle (fraction on the “ y ” axis is plotted versus distance on the “ x ”). Blue curves correspond to somatic puncta and red curves to synaptic ones (for each curve 20 images and about 5000 spots-per-channel, were analyzed). Distances are as measured by <t>Spotnik</t> from the computationally determined centroids for each spot, as described by the Gaussian modeling technique. However the actual position of these centroids are naturally limited by the resolution of light microscopy. Thus, spots separated by less than about 0.30 μ should be assumed to colocalize exactly. (B) Cumulative plot showing the fraction of Dcp1 foci ( y ) that are within ( x ) micrometers from an Me31B foci described using Gaussian modeling. The quick rise of the blue curve (somatic foci) compared to the red curve (synaptic foci) indicates substantially tighter colocalization of Me31B with P-body markers in somatic particles compared to synaptic ones. (C,D) Plots similar to (B) for Pcm and Staufen.
Spotnik, supplied by MathWorks Inc, 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/spotnik/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
spotnik - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc image analysis tools matlab v.r2014b
Computational analysis of Me31B colocalization with P-body proteins in somatic and synaptic foci . (A) Stages of image processing during automated detection of immunostained puncta (see ). The original image (i) is transformed into a mesh-plot (ii). The local background (iii) is subtracted from this image to yield image (iv). Each object in this background-subtracted image is fit to Gaussian parameters using an SMEM (Split-Merge Estimation-Maximization) technique and the result (v) is used as a mask to analyze underlying spots in the original image (vi). (B–D) Quantified colocalization of Dcp1, Pcm, and Staufen with Me31B. The graphs plot cumulative fraction of Dcp1, Pcm, or Stau positive particles found within a specific distance from the closest Me31B containing particle (fraction on the “ y ” axis is plotted versus distance on the “ x ”). Blue curves correspond to somatic puncta and red curves to synaptic ones (for each curve 20 images and about 5000 spots-per-channel, were analyzed). Distances are as measured by <t>Spotnik</t> from the computationally determined centroids for each spot, as described by the Gaussian modeling technique. However the actual position of these centroids are naturally limited by the resolution of light microscopy. Thus, spots separated by less than about 0.30 μ should be assumed to colocalize exactly. (B) Cumulative plot showing the fraction of Dcp1 foci ( y ) that are within ( x ) micrometers from an Me31B foci described using Gaussian modeling. The quick rise of the blue curve (somatic foci) compared to the red curve (synaptic foci) indicates substantially tighter colocalization of Me31B with P-body markers in somatic particles compared to synaptic ones. (C,D) Plots similar to (B) for Pcm and Staufen.
Image Analysis Tools Matlab V.R2014b, supplied by MathWorks Inc, 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/image analysis tools matlab v.r2014b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
image analysis tools matlab v.r2014b - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc matlab v.r2014b
Computational analysis of Me31B colocalization with P-body proteins in somatic and synaptic foci . (A) Stages of image processing during automated detection of immunostained puncta (see ). The original image (i) is transformed into a mesh-plot (ii). The local background (iii) is subtracted from this image to yield image (iv). Each object in this background-subtracted image is fit to Gaussian parameters using an SMEM (Split-Merge Estimation-Maximization) technique and the result (v) is used as a mask to analyze underlying spots in the original image (vi). (B–D) Quantified colocalization of Dcp1, Pcm, and Staufen with Me31B. The graphs plot cumulative fraction of Dcp1, Pcm, or Stau positive particles found within a specific distance from the closest Me31B containing particle (fraction on the “ y ” axis is plotted versus distance on the “ x ”). Blue curves correspond to somatic puncta and red curves to synaptic ones (for each curve 20 images and about 5000 spots-per-channel, were analyzed). Distances are as measured by <t>Spotnik</t> from the computationally determined centroids for each spot, as described by the Gaussian modeling technique. However the actual position of these centroids are naturally limited by the resolution of light microscopy. Thus, spots separated by less than about 0.30 μ should be assumed to colocalize exactly. (B) Cumulative plot showing the fraction of Dcp1 foci ( y ) that are within ( x ) micrometers from an Me31B foci described using Gaussian modeling. The quick rise of the blue curve (somatic foci) compared to the red curve (synaptic foci) indicates substantially tighter colocalization of Me31B with P-body markers in somatic particles compared to synaptic ones. (C,D) Plots similar to (B) for Pcm and Staufen.
Matlab V.R2014b, supplied by MathWorks Inc, 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/matlab v.r2014b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab v.r2014b - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Computational analysis of Me31B colocalization with P-body proteins in somatic and synaptic foci . (A) Stages of image processing during automated detection of immunostained puncta (see ). The original image (i) is transformed into a mesh-plot (ii). The local background (iii) is subtracted from this image to yield image (iv). Each object in this background-subtracted image is fit to Gaussian parameters using an SMEM (Split-Merge Estimation-Maximization) technique and the result (v) is used as a mask to analyze underlying spots in the original image (vi). (B–D) Quantified colocalization of Dcp1, Pcm, and Staufen with Me31B. The graphs plot cumulative fraction of Dcp1, Pcm, or Stau positive particles found within a specific distance from the closest Me31B containing particle (fraction on the “ y ” axis is plotted versus distance on the “ x ”). Blue curves correspond to somatic puncta and red curves to synaptic ones (for each curve 20 images and about 5000 spots-per-channel, were analyzed). Distances are as measured by Spotnik from the computationally determined centroids for each spot, as described by the Gaussian modeling technique. However the actual position of these centroids are naturally limited by the resolution of light microscopy. Thus, spots separated by less than about 0.30 μ should be assumed to colocalize exactly. (B) Cumulative plot showing the fraction of Dcp1 foci ( y ) that are within ( x ) micrometers from an Me31B foci described using Gaussian modeling. The quick rise of the blue curve (somatic foci) compared to the red curve (synaptic foci) indicates substantially tighter colocalization of Me31B with P-body markers in somatic particles compared to synaptic ones. (C,D) Plots similar to (B) for Pcm and Staufen.

Journal: Frontiers in Neural Circuits

Article Title: The Me31B DEAD-Box Helicase Localizes to Postsynaptic Foci and Regulates Expression of a CaMKII Reporter mRNA in Dendrites of Drosophila Olfactory Projection Neurons

doi: 10.3389/fncir.2010.00121

Figure Lengend Snippet: Computational analysis of Me31B colocalization with P-body proteins in somatic and synaptic foci . (A) Stages of image processing during automated detection of immunostained puncta (see ). The original image (i) is transformed into a mesh-plot (ii). The local background (iii) is subtracted from this image to yield image (iv). Each object in this background-subtracted image is fit to Gaussian parameters using an SMEM (Split-Merge Estimation-Maximization) technique and the result (v) is used as a mask to analyze underlying spots in the original image (vi). (B–D) Quantified colocalization of Dcp1, Pcm, and Staufen with Me31B. The graphs plot cumulative fraction of Dcp1, Pcm, or Stau positive particles found within a specific distance from the closest Me31B containing particle (fraction on the “ y ” axis is plotted versus distance on the “ x ”). Blue curves correspond to somatic puncta and red curves to synaptic ones (for each curve 20 images and about 5000 spots-per-channel, were analyzed). Distances are as measured by Spotnik from the computationally determined centroids for each spot, as described by the Gaussian modeling technique. However the actual position of these centroids are naturally limited by the resolution of light microscopy. Thus, spots separated by less than about 0.30 μ should be assumed to colocalize exactly. (B) Cumulative plot showing the fraction of Dcp1 foci ( y ) that are within ( x ) micrometers from an Me31B foci described using Gaussian modeling. The quick rise of the blue curve (somatic foci) compared to the red curve (synaptic foci) indicates substantially tighter colocalization of Me31B with P-body markers in somatic particles compared to synaptic ones. (C,D) Plots similar to (B) for Pcm and Staufen.

Article Snippet: We created “Spotnik” a MatLab plug-in which allowed us to automate the quantitative analysis of spot colocalization across red and green channels of a double-stained image.

Techniques: Transformation Assay, Light Microscopy