Visualizing cellular imaging data using PhenoPlot.
Level V
Where this comes from
- Record sourced from PubMed, PMID 25569359.
- Also identified by DOI 10.1038/ncomms6825 and PMC identifier 4354266.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- Breast Neoplasms
- Cells
- Image Processing, Computer-Assisted
- Software