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cytomap  (MathWorks Inc)


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    MathWorks Inc cytomap
    Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and <t>CytoMap.</t>
    Cytomap, 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/cytomap/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    cytomap - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer"

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    Journal: bioRxiv

    doi: 10.1101/2025.05.16.654590

    Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and CytoMap.
    Figure Legend Snippet: Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and CytoMap.

    Techniques Used: Staining, Software



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    Image Search Results


    Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and CytoMap.

    Journal: bioRxiv

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    doi: 10.1101/2025.05.16.654590

    Figure Lengend Snippet: Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and CytoMap.

    Article Snippet: We use CytoMap, a MATLAB-based histo-cytometric multidimensional analysis pipeline designed for spatial analysis of segmented cell objects [ ] to analyze the output from the QuPath.

    Techniques: Staining, Software

    Summary of the computational methods applied in spatial monoomics

    Journal: BME Frontiers

    Article Title: Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics

    doi: 10.34133/bmef.0084

    Figure Lengend Snippet: Summary of the computational methods applied in spatial monoomics

    Article Snippet: , Spatial neighborhood , Cytomap , MATLAB , https://github.com/DrStoltzfus/CytoMAP , [ ] .

    Techniques: Spatial Proteomics, Functional Assay