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JACoP is a free software tool that allows calculating and visualizing various indicators of co-localization between two or more images. It offers a user-friendly interface, a range of methods, and 3D support.
11 de feb. de 2020 · JACoP allows: Calculating a set of commonly used co-localization indicators: Pearson's coefficient; Overlap coefficient; k1 & k2 coefficients; Manders' coefficient; Generating commonly used visualizations: Cytofluorogram; Having access to more recently published methods: Costes' automatic threshold; Li's ICA; Costes' randomization
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31 de may. de 2006 · JACoP is a plugin for ImageJ that allows users to evaluate co-localization of two fluorescent signals in images. It provides various indicators and methods, such as Pearson's coefficient, overlap coefficient, cross correlation, intensity correlation analysis, and randomization.
7 de oct. de 2020 · This video shows how to use Coloc2 and JACoP for colocalization studies with Fiji/ImageJ. The image shown in this video is available at http://cellimagelibra...
JACoP is a collection of tools to measure and visualize the degree of overlap between two or more channels in fluorescence microscopy. It offers various methods, such as Pearson's coefficient, Manders' coefficient, Costes' threshold, and objects based methods.
25 de oct. de 2018 · JACoP is an ImageJ plugin that can generate pixel intensity scatterplots to visualize localization patterns and measure colocalization with a variety of metrics including PCC (Van Steensel’s CCF...
