CellProfiler Analyst: data exploration and analysis software for complex image-based screens

doi:10.1186/1471-2105-9-482

BMC Bioinformatics
Volume 9

Viewing options:

Abstract
Full text
PDF (5.3MB)
Additional files

Associated material:

Related literature:

Articles citing this article
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Jones TR
Kang IH
Wheeler DB
Lindquist RA
Papallo A
Sabatini DM
Golland P
Carpenter AE

on PubMed

Jones TR
Kang IH
Wheeler DB
Lindquist RA
Papallo A
Sabatini DM
Golland P
Carpenter AE
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Software

CellProfiler Analyst: data exploration and analysis software for complex image-based screens

Thouis R Jones¹^,2^,3 , In Han Kang³ , Douglas B Wheeler² , Robert A Lindquist² , Adam Papallo¹^,2 , David M Sabatini²^,4 , Polina Golland³ and Anne E Carpenter¹^,2

¹Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA

²Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA

³Computer Sciences and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02142, USA

⁴Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:482doi:10.1186/1471-2105-9-482


Published:	15 November 2008

Abstract

Background

Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment.

Results

Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments.

Conclusion

The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell.