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 b-tu.de>
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

Downloads:

Package source: biopixR_0.2.4.tar.gz
Windows binaries: r-prerel: biopixR_0.2.4.zip, r-release: biopixR_0.2.4.zip, r-oldrel: biopixR_0.2.4.zip
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

Linking:

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