Journal Article

EBImage—an R package for image processing with applications to cellular phenotypes

Grégoire Pau, Florian Fuchs, Oleg Sklyar, Michael Boutros and Wolfgang Huber

in Bioinformatics

Volume 26, issue 7, pages 979-981
Published in print April 2010 | ISSN: 1367-4803
Published online March 2010 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btq046

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Summary: EBImage provides general purpose functionality for reading, writing, processing and analysis of images. Furthermore, in the context of microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and use of existing tools in the R environment for signal processing, statistical modeling, machine learning and data visualization.

Availability: EBImage is free and open source, released under the LGPL license and available from the Bioconductor project (http://www.bioconductor.org/packages/release/bioc/html/EBImage.html).

Contact: gregoire.pau@ebi.ac.uk

Journal Article.  1197 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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