Visualizing cellular imaging data using PhenoPlot.
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Date
2015-01-08ICR Author
Author
Sailem, HZ
Sero, JE
Bakal, C
Type
Journal Article
Metadata
Show full item recordAbstract
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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Subject
Cells
Cell Line, Tumor
Humans
Breast Neoplasms
Image Processing, Computer-Assisted
Software
Female
Research team
Dynamical Cell Systems
Language
eng
Date accepted
2014-11-11
License start date
2015-01-08
Citation
Nature communications, 2015, 6 pp. 5825 - ?
Publisher
NATURE PUBLISHING GROUP