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CellProfiler: image analysis software for identifying and quantifying cell phenotypes

delete2006-10-31
delete4.4K
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OA
AI
A
Anne E. Carpenter
T
Thouis R. Jones
M
Michael R. Lamprecht
C
Colin Clarke
I
In Han Kang
O
Ola Friman
D
David A. Guertin
C
Chang, Joo Han
R
Robert A. Lindquist
J
Jason Moffat
P
Polina Golland
D
David M. Sabatini *
DOI:10.1186/gb-2006-7-10-r100delete
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Abstract

Abstract

En 中文
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).
Keywords:
THROUGHPUT RNA INTERFERENCE
SUBCELLULAR STRUCTURES
MICROSCOPE IMAGES
FUNCTION SCREENS
TISSUE-SECTIONS
GENE-FUNCTION
SEGMENTATION
FLUORESCENCE
PATTERNS
NUCLEI

Journal

G
Genome Biology
IF:
9.4
Papers:
6.4K
Citations:
7.3W

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Cited Papers

Cited Papers

Systematic genome-wide screens of gene function
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Identification of novel mammalian growth regulatory factors by genome-scale quantitative image analysis
err2005-07-15
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errHarada, JN; Bower, KE; Orth, AP; Callaway, S; Nelson, CG; Laris, C; Hogenesch, JB; Vogt, PK; Chanda, SK
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Randomized controlled trial of supported employment in England: 2 year follow‐up of the Supported Work and Needs (SWAN) study
err2013-03-12
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errOAAI
errMARGARET HESLIN; LOUISE HOWARD; MORVEN LEESE; PAUL McCRONE; CHRISTOPHER RICE; MANUELA JARRETT; TERRY SPOKES; PETER HUXLEY; GRAHAM THORNICROFT
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