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 ), interactive ROI refinement, and high-throughput batch processing.


BioThermR: an R package for standardized processing, visualization, and statistical analysis of thermal imaging data in animal studies

BioThermR is an R package designed to provide an end-to-end analysis pipeline for infrared thermography (IRT) data in animal experimentation. It addresses the lack of standardized, reproducible, and batch-processing workflows in current thermal imaging analysis.


Find out more at https://github.com/RightSZ/BioThermR

Installation

BioThermR relies on EBImage from Bioconductor for image processing. Please install it first:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("EBImage")

Install the stable release from CRAN as follow:

# Install from CRAN
install.packages("BioThermR")

Install the latest development version from GitHub as follow:

# Install the development version from GitHub
if (!require("devtools", quietly = TRUE))
    install.packages("devtools")
devtools::install_github("RightSZ/BioThermR")

License

This package is licensed under the GPL-3.0 License. See the LICENSE file for details.

Reference manual

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install.packages("BioThermR")

0.1.1 by BeiHao Li, 6 months ago


https://github.com/RightSZ/BioThermR, https://rightsz.github.io/BioThermR/


Report a bug at https://github.com/RightSZ/BioThermR/issues


Browse source code at https://github.com/cran/BioThermR


Authors: BeiHao Li [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports EBImage, ggplot2, ggpubr, ggrepel, ggsci, plotly, shiny, stats, Thermimage

Suggests knitr, rmarkdown, testthat, psych, lme4


See at CRAN