CellProfiler Analyst: data exploration and analysis software for complex image-based screens
Thouis R. Jones(Broad Institute), In Han Kang(Massachusetts Institute of Technology), Douglas B. Wheeler(Whitehead Institute for Biomedical Research), Robert A. Lindquist(Whitehead Institute for Biomedical Research), Adam Papallo(Broad Institute), David M. Sabatini(Whitehead Institute for Biomedical Research), Polina Golland(Massachusetts Institute of Technology), Anne E. Carpenter(Broad Institute)
Cited by 572Open Access
Abstract
BACKGROUND: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment. RESULTS: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments. CONCLUSION: The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell.
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