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BioThermR: Standardized Processing and Analysis of Thermal Imaging Data in Animal Studies

A modular framework for standardized analysis of thermal imaging data in animal experimentation. The package integrates thermographic data import (FLIR, raw, CSV), automated region of interest (ROI) segmentation based on 'EBImage' (Pau et al., 2010 <doi:10.1093/bioinformatics/btq046>), interactive ROI refinement, and high-throughput batch processing.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: EBImage, ggplot2, ggrepel, ggsci, plotly, shiny, stats, Thermimage
Suggests: knitr, rmarkdown, testthat
Published: 2026-01-21
DOI: 10.32614/CRAN.package.BioThermR
Author: BeiHao Li [aut, cre]
Maintainer: BeiHao Li <szright2000 at gmail.com>
BugReports: https://github.com/RightSZ/BioThermR/issues
License: GPL (≥ 3)
URL: https://github.com/RightSZ/BioThermR, https://rightsz.github.io/BioThermR/
NeedsCompilation: no
Materials: README
CRAN checks: BioThermR results

Documentation:

Reference manual: BioThermR.html , BioThermR.pdf
Vignettes: Quickstart (source, R code)

Downloads:

Package source: BioThermR_0.1.0.tar.gz
Windows binaries: r-devel: BioThermR_0.1.0.zip, r-release: BioThermR_0.1.0.zip, r-oldrel: BioThermR_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): BioThermR_0.1.0.tgz, r-oldrel (x86_64): BioThermR_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.