Visualizing cellular imaging data using PhenoPlot.
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Visualization is essential for data interpretation, hypothesis formulation and communication of results. However, there is a paucity of visualization methods for image-derived data sets generated by high-content analysis in which complex cellular phenotypes are described as high-dimensional vectors of features. Here we present a visualization tool, PhenoPlot, which represents quantitative high-content imaging data as easily interpretable glyphs, and we illustrate how PhenoPlot can be used to improve the exploration and interpretation of complex breast cancer cell phenotypes.
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Cell Line, Tumor
Image Processing, Computer-Assisted
Dynamical Cell Systems
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Nature Communications, 2015, 6 pp. 5825 - ?