Package: biopixR 1.2.0

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.zip(r-4.5)biopixR_1.2.0.zip(r-4.4)biopixR_1.2.0.zip(r-4.3)
biopixR_1.2.0.tgz(r-4.5-any)biopixR_1.2.0.tgz(r-4.4-any)biopixR_1.2.0.tgz(r-4.3-any)
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://brauckhoff.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

On CRAN:

6.40 score 5 stars 23 scripts 518 downloads 15 exports 27 dependencies

Last updated 3 months agofrom:0e7bd6565c. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 09 2025
R-4.5-winOKFeb 09 2025
R-4.5-macOKFeb 09 2025
R-4.5-linuxOKFeb 09 2025
R-4.4-winOKFeb 09 2025
R-4.4-macOKFeb 09 2025
R-4.3-winOKFeb 09 2025
R-4.3-macOKFeb 09 2025

Exports:adaptiveInterpolationchangePixelColoredgeDetectionfillLineGapsharalickClusterimgPipeimportImageinteractive_objectDetectioninterpolatePixelsobjectDetectionproximityFilterresultAnalyticsscanDirshapeFeaturessizeFilter

Dependencies:bmpcliclustercpp11curldata.tabledigestdownloaderglueigraphimagerjpeglatticelifecyclemagickmagrittrMatrixpkgconfigpngpurrrRcppreadbitmaprlangstringistringrtiffvctrs

biopixR - Introduction

Rendered frombiopixR.Rmdusingknitr::rmarkdownon Feb 09 2025.

Last update: 2024-07-04
Started: 2023-12-06