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: 0.2.4
Depends: R (≥ 4.2.0), data.table, imager, magick, tcltk, foreach
Suggests: knitr, rmarkdown, doParallel, kohonen
Published: 2024-03-25
Author: Tim Brauckhoff ORCID iD [aut, cre], Stefan Roediger ORCID iD [ctb], Coline Kieffer [ctb]
Maintainer: Tim Brauckhoff <Tim.Brauckhoff at>
License: LGPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README ChangeLog
CRAN checks: biopixR results


Reference manual: biopixR.pdf
Vignettes: biopixR - Introduction


Package source: biopixR_0.2.4.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): biopixR_0.2.4.tgz, r-release (arm64): biopixR_0.2.4.tgz, r-oldrel (arm64): biopixR_0.2.4.tgz, r-prerel (x86_64): biopixR_0.2.4.tgz, r-release (x86_64): biopixR_0.2.4.tgz


Please use the canonical form to link to this page.