CellProfiler Analyst: data exploration and analysis software for complex image-based screens
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* Corresponding author: Anne E Carpenter anne@broad.mit.edu
1 Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
2 Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
3 Computer Sciences and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
4 Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
BMC Bioinformatics 2008, 9:482 doi:10.1186/1471-2105-9-482
Published: 15 November 2008Abstract
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.