CellProfiler Analyst: data exploration and analysis software for complex image-based screens
Name
Sabatini_Cell profiler.pdf
Size
5.31 MB
Format
Adobe PDF
Checksum (MD5)
909299c7bebe751a739bdf546af09941
Author(s)
Wheeler, Douglas B.
Kang, In Han
Golland, Polina
Papallo, Adam
Lindquist, Robert A.
Jones, Thouis R.
Van Dyk, Anne Carpenter
Sabatini, David
Date Issued
November 2008
Journal
BMC Bioinformatics
Publisher
BioMed Central Ltd.
Citation
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.
Version
Final published version
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.
MIT Department
Broad 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
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/1471-2105-9-482
