CellProfiler Analyst: data exploration and analysis software for complex image-based screens
Author(s)Wheeler, Douglas B.; Sabatini, David M.; Kang, In Han; Golland, Polina; Papallo, Adam; Lindquist, Robert A.; Carpenter, Anne E.; Jones, Thouis R.; ... Show more Show less
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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.
DepartmentBroad Institute of MIT and Harvard; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Biology; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Whitehead Institute for Biomedical Research
BioMed Central Ltd.
T. Jones, I. Kang, D. Wheeler, R. Lindquist, A. Papallo, D. Sabatini, P. Golland, and A. Carpenter, “CellProfiler Analyst: data exploration and analysis software for complex image-based screens,” BMC Bioinformatics, vol. 9, 2008, p. 482.
Final published version