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EBImage—an R package for image processing with applications to cellular phenotypes
Open accessAbstract
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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Cited by
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Zeng, H., Huang, J., Zhou, H., Meilandt, W. J., Dejanovic, B., Zhou, Y., Bohlen, C. J., Lee, S.-H., Ren, J., Liu, A., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01251-x · Cited by 233
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Rowlands, D., Lensjø, K. K., Dinh, T., Yang, S., Andrews, M. R., Hafting, T., Fyhn, M., Fawcett, J. W., & Dick, G. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1122-18.2018 · Cited by 204
Metadata
- Authors
- Pau, G., Fuchs, F., Sklyar, O., Boutros, M., & Huber, W.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-03-23
- Volume
- 26
- Issue
- 7
- Pages
- 979-981
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2164765928
- Cited by
- 797
- References
- 0
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Pau, G., Fuchs, F., Sklyar, O., Boutros, M., & Huber, W. (2010). EBImage—an R package for image processing with applications to cellular phenotypes. Bioinformatics. https://doi.org/10.1093/bioinformatics/btq046
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