CellProfiler: image analysis software for identifying and quantifying cell phenotypes

被引：3683

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).

引用

页数：30

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