Package: biopixR 1.1.0

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_1.1.0.tar.gz
biopixR_1.1.0.zip(r-4.5)biopixR_1.1.0.zip(r-4.4)biopixR_1.1.0.zip(r-4.3)
biopixR_1.1.0.tgz(r-4.4-any)biopixR_1.1.0.tgz(r-4.3-any)
biopixR_1.1.0.tar.gz(r-4.5-noble)biopixR_1.1.0.tar.gz(r-4.4-noble)
biopixR_1.1.0.tgz(r-4.4-emscripten)biopixR_1.1.0.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:

15 exports 4 stars 2.57 score 27 dependencies 25 scripts 197 downloads

Last updated 1 months agofrom:38626985d9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winOKSep 07 2024
R-4.5-linuxOKSep 07 2024
R-4.4-winOKSep 07 2024
R-4.4-macOKSep 07 2024
R-4.3-winOKSep 07 2024
R-4.3-macOKSep 07 2024

Exports:adaptiveInterpolationchangePixelColoredgeDetectionfillLineGapsharalickClusterimgPipeimportImageinteractive_objectDetectioninterpolatePixelsobjectDetectionproximityFilterresultAnalyticsscanDirshapeFeaturessizeFilter

Dependencies:bmpcliclustercpp11curldata.tabledigestdownloaderglueigraphimagerjpeglatticelifecyclemagickmagrittrMatrixpkgconfigpngpurrrRcppreadbitmaprlangstringistringrtiffvctrs

biopixR - Introduction

Tim Brauckhoff and Stefan Rödiger

Rendered frombiopixR.Rmdusingknitr::rmarkdownon Sep 07 2024.

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