LFApp: Shiny Apps for Lateral Flow Assays

Shiny apps for the quantitative analysis of images from lateral flow assays (LFAs). The images are segmented and background corrected and color intensities are extracted. The apps can be used to import and export intensity data and to calibrate LFAs by means of linear, loess, or gam models. The calibration models can further be saved and applied to intensity data from new images for determining concentrations.

Version: 1.3.1
Depends: R (≥ 4.0.0)
Imports: stats, utils, graphics, methods, mgcv, shiny, shinyjs, shinythemes, shinyFiles, shinyMobile (≥ 0.9), EBImage, DT, ggplot2, fs
Suggests: knitr, rmarkdown, remotes
Published: 2022-11-23
Author: Filip Paskali ORCID iD [aut, cre], Weronika Schary ORCID iD [aut], Matthias Kohl ORCID iD [aut]
Maintainer: Filip Paskali <F.Paskali at hs-furtwangen.de>
BugReports: https://github.com/fpaskali/LFApp/issues
License: LGPL-3
URL: https://github.com/fpaskali/LFApp
NeedsCompilation: no
Citation: LFApp citation info
Materials: NEWS
CRAN checks: LFApp results

Documentation:

Reference manual: LFApp.pdf
Vignettes: LFA App User's Guide

Downloads:

Package source: LFApp_1.3.1.tar.gz
Windows binaries: r-devel: LFApp_1.3.1.zip, r-release: LFApp_1.3.zip, r-oldrel: LFApp_1.3.1.zip
macOS binaries: r-release (arm64): LFApp_1.3.tgz, r-oldrel (arm64): LFApp_1.3.tgz, r-release (x86_64): LFApp_1.3.1.tgz, r-oldrel (x86_64): LFApp_1.3.1.tgz
Old sources: LFApp archive

Linking:

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