CellProfiler: image analysis software for identifying and quantifying cell phenotypes

被引：3804
作者：
Carpenter, Anne E.
Jones, Thouis Ray
Lamprecht, Michael R.
Clarke, Colin
Kang, In Han
Friman, Ola
Guertin, David A.
Chang, Joo Han
Lindquist, Robert A.
Moffat, Jason
Golland, Polina
Sabatini, David M.
机构：
[1] Whitehead Inst Biomed Res, Cambridge, MA 02142 USA
[2] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02142 USA
[3] Brigham & Womens Hosp, Dept Radiol, Boston, MA 02115 USA
[4] MIT, Dept Biol, Cambridge, MA 02142 USA
来源：
GENOME BIOLOGY | 2006年 / 7卷 / 10期
关键词：
D O I：
10.1186/gb-2006-7-10-r100
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
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 (www.cellprofiler.org). 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).
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页数：30
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