CellProfiler: image analysis software for identifying and quantifying cell phenotypes
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gb-2006-7-10-r100.pdf
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774.14 KB
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Checksum (MD5)
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Author(s)
Carpenter, Anne E.
Jones, Thouis R.
Lamprecht, Michael R.
Clarke, Colin
Kang, In Han
Friman, Ola
Guertin, David A.
Chang, Joo Han
Lindquist, Robert A.
Moffat, Jason
Date Issued
October 2006
Journal
Genome biology
Publisher
BioMed Central Ltd
Citation
Genome Biology. 2006 Oct 31;7(10):R100
Version
Final published version
Abstract
Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Whitehead Institute for Biomedical Research
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/gb-2006-7-10-r100
