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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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“…et al. 2008) offer complete transparency of their code and are well suited to create bespoke workflows for specific use cases, which can become particularly powerful when combined with open-source data analysis based on R (Meyer et al. 2024; Pau et al. 2010) or Python (Rueden et al. 2022).”
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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