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

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 ta...

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Detalles Bibliográficos
Autores principales: Pau, Grégoire, Fuchs, Florian, Sklyar, Oleg, Boutros, Michael, Huber, Wolfgang
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2844988/
https://www.ncbi.nlm.nih.gov/pubmed/20338898
http://dx.doi.org/10.1093/bioinformatics/btq046
Descripción
Sumario: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

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