biopixR: Extracting Insights from Biological Images

Combines the 'magick' and 'imager' packages to streamline image analysis, focusing on feature extraction and quantification from biological images, especially microparticles. By providing high throughput pipelines and clustering capabilities, 'biopixR' facilitates efficient insight generation for researchers (Schneider J. et al. (2019) <doi:10.21037/jlpm.2019.04.05>).

Version: 1.2.0
Depends: R (≥ 4.2.0), imager, magick
Imports: data.table, cluster
Suggests: tcltk, knitr, rmarkdown, doParallel, kohonen, imagerExtra, GPareto, foreach
Published: 2024-11-11
DOI: 10.32614/CRAN.package.biopixR
Author: Tim Brauckhoff ORCID iD [aut, cre], Stefan Roediger ORCID iD [ctb], Coline Kieffer [ctb]
Maintainer: Tim Brauckhoff <brauctile at disroot.org>
BugReports: https://github.com/Brauckhoff/biopixR/issues
License: LGPL (≥ 3)
URL: https://github.com/Brauckhoff/biopixR
NeedsCompilation: no
Language: en-US
Materials: README ChangeLog
CRAN checks: biopixR results

Documentation:

Reference manual: biopixR.pdf
Vignettes: biopixR - Introduction (source, R code)

Downloads:

Package source: biopixR_1.2.0.tar.gz
Windows binaries: r-devel: biopixR_1.2.0.zip, r-release: biopixR_1.2.0.zip, r-oldrel: biopixR_1.2.0.zip
macOS binaries: r-release (arm64): biopixR_1.2.0.tgz, r-oldrel (arm64): biopixR_1.2.0.tgz, r-release (x86_64): biopixR_1.2.0.tgz, r-oldrel (x86_64): biopixR_1.2.0.tgz
Old sources: biopixR archive

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