Package: biopixR 1.2.0

Tim Brauckhoff

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>).

Authors:Tim Brauckhoff [aut, cre], Stefan Roediger [ctb], Coline Kieffer [ctb]

biopixR_1.2.0.tar.gz
biopixR_1.2.0.tar.gz(r-4.5-noble)biopixR_1.2.0.tar.gz(r-4.4-noble)
biopixR_1.2.0.tgz(r-4.4-emscripten)biopixR_1.2.0.tgz(r-4.3-emscripten)
biopixR.pdf |biopixR.html✨
biopixR/json (API)

# Install 'biopixR' in R:
install.packages('biopixR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/brauckhoff/biopixr/issues

Datasets:

3.66 score 23 scripts 541 downloads 15 exports 27 dependencies

Last updated 3 months agofrom:ee1265d7d9. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025

Exports:adaptiveInterpolationchangePixelColoredgeDetectionfillLineGapsharalickClusterimgPipeimportImageinteractive_objectDetectioninterpolatePixelsobjectDetectionproximityFilterresultAnalyticsscanDirshapeFeaturessizeFilter

Dependencies:bmpcliclustercpp11curldata.tabledigestdownloaderglueigraphimagerjpeglatticelifecyclemagickmagrittrMatrixpkgconfigpngpurrrRcppreadbitmaprlangstringistringrtiffvctrs

biopixR - Introduction

Tim Brauckhoff and Stefan Rödiger

Rendered frombiopixR.Rmdusingknitr::rmarkdownon Feb 11 2025.

Last update: 2024-11-11
Started: 2024-03-26