CellProfiler: image analysis software for identifying and quantifying cell phenotypes

20065,413 citationsJournal Articlegold Open Access

Authors

Anne E. Carpenter · Whitehead Institute for Biomedical Research

Thouis R. Jones · Massachusetts Institute of Technology

Michael R. Lamprecht · Whitehead Institute for Biomedical Research

Colin Clarke · Whitehead Institute for Biomedical Research

In Han Kang · Massachusetts Institute of Technology

Ola Friman · Brigham and Women's Hospital

David A. Guertin

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).

Topics & Keywords

Cell Image Analysis Techniques Genetics, Bioinformatics, and Biomedical Research Image Processing Techniques and Applications

Publication Details

Published in: Genome biology

Volume 7, Issue 10, pp. R100-R100

DOI: 10.1186/gb-2006-7-10-r100

Field-Weighted Citation Impact: 61.02

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CellProfiler: image analysis software for identifying and quantifying cell phenotypes

Authors

Abstract

Topics & Keywords

Publication Details