Title |
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
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Published in |
Genome Biology, October 2006
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DOI | 10.1186/gb-2006-7-10-r100 |
Pubmed ID | |
Authors |
Anne E Carpenter, Thouis R Jones, Michael R Lamprecht, Colin Clarke, In Han Kang, Ola Friman, David A Guertin, Joo Han Chang, Robert A Lindquist, Jason Moffat, Polina Golland, David M Sabatini |
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). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 46 | 1% |
Germany | 18 | <1% |
United Kingdom | 16 | <1% |
France | 8 | <1% |
Spain | 7 | <1% |
Netherlands | 6 | <1% |
Portugal | 5 | <1% |
Canada | 5 | <1% |
Brazil | 4 | <1% |
Other | 38 | 1% |
Unknown | 2934 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 804 | 26% |
Researcher | 581 | 19% |
Student > Master | 384 | 12% |
Student > Bachelor | 278 | 9% |
Student > Doctoral Student | 168 | 5% |
Other | 406 | 13% |
Unknown | 466 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 901 | 29% |
Biochemistry, Genetics and Molecular Biology | 611 | 20% |
Engineering | 249 | 8% |
Medicine and Dentistry | 162 | 5% |
Computer Science | 160 | 5% |
Other | 446 | 14% |
Unknown | 558 | 18% |