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-4.4-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'))

Peer review:

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

Datasets:

On CRAN:

6.59 score 5 stars 25 scripts 187 downloads 15 exports 27 dependencies

Last updated 10 days agofrom:0e7bd6565c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:adaptiveInterpolationchangePixelColoredgeDetectionfillLineGapsharalickClusterimgPipeimportImageinteractive_objectDetectioninterpolatePixelsobjectDetectionproximityFilterresultAnalyticsscanDirshapeFeaturessizeFilter

Dependencies:bmpcliclustercpp11curldata.tabledigestdownloaderglueigraphimagerjpeglatticelifecyclemagickmagrittrMatrixpkgconfigpngpurrrRcppreadbitmaprlangstringistringrtiffvctrs

biopixR - Introduction

Tim Brauckhoff and Stefan Rödiger

Rendered frombiopixR.Rmdusingknitr::rmarkdownon Nov 11 2024.

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