Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pau, Grégoire, Fuchs, Florian, Sklyar, Oleg, Boutros, Michael, Huber, Wolfgang
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
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
_version_ 1782179352040964096
author Pau, Grégoire
Fuchs, Florian
Sklyar, Oleg
Boutros, Michael
Huber, Wolfgang
author_facet Pau, Grégoire
Fuchs, Florian
Sklyar, Oleg
Boutros, Michael
Huber, Wolfgang
author_sort Pau, Grégoire
collection PubMed
description 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
format Text
id pubmed-2844988
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-28449882010-03-29 EBImage—an R package for image processing with applications to cellular phenotypes Pau, Grégoire Fuchs, Florian Sklyar, Oleg Boutros, Michael Huber, Wolfgang Bioinformatics Applications Note 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 Oxford University Press 2010-04-01 2010-03-23 /pmc/articles/PMC2844988/ /pubmed/20338898 http://dx.doi.org/10.1093/bioinformatics/btq046 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Pau, Grégoire
Fuchs, Florian
Sklyar, Oleg
Boutros, Michael
Huber, Wolfgang
EBImage—an R package for image processing with applications to cellular phenotypes
title EBImage—an R package for image processing with applications to cellular phenotypes
title_full EBImage—an R package for image processing with applications to cellular phenotypes
title_fullStr EBImage—an R package for image processing with applications to cellular phenotypes
title_full_unstemmed EBImage—an R package for image processing with applications to cellular phenotypes
title_short EBImage—an R package for image processing with applications to cellular phenotypes
title_sort ebimage—an r package for image processing with applications to cellular phenotypes
topic Applications Note
url 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
work_keys_str_mv AT paugregoire ebimageanrpackageforimageprocessingwithapplicationstocellularphenotypes
AT fuchsflorian ebimageanrpackageforimageprocessingwithapplicationstocellularphenotypes
AT sklyaroleg ebimageanrpackageforimageprocessingwithapplicationstocellularphenotypes
AT boutrosmichael ebimageanrpackageforimageprocessingwithapplicationstocellularphenotypes
AT huberwolfgang ebimageanrpackageforimageprocessingwithapplicationstocellularphenotypes