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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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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 |
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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 |
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