Introduction | Testing our apps without installing | Installation | Start Apps | Tab 1: Cropping and Segmentation | Upload Image or Choose Sample Image | Set number of strips and number of lines per strip | Apply Segmentation | Tab 2: Background | Select Strip | Optional: in case of color images | Select threshold method and apply | Add to intensity data | Switch To Intensity Data | Tab 3: Intensity Data | Download data | Restart with new data | Upload existing data | Switch To Experiment Info | Tab 4: Experiment Info | Upload Experiment Info or upload existing merged data and go to calibration | Select ID columns and merge datasets | Prepare Calibration | Tab 5: Calibration | Specify a folder for the analysis results | Upload existing preprocessed data | Optional: average technical replicates | Optional: reshape data from long to wide | Calibration by linear, local polynomial or generalized additive model | Run calibration analysis | Tab 6: Results | Open analysis report | Tab 7: Quantification | Required R packages | References
Package: LFApp 1.4.2
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.
Authors:
LFApp_1.4.2.tar.gz
LFApp_1.4.2.zip(r-4.7-any)LFApp_1.4.2.zip(r-4.6-any)LFApp_1.4.2.zip(r-4.5-any)
LFApp_1.4.2.tgz(r-4.6-any)LFApp_1.4.2.tgz(r-4.5-any)
LFApp_1.4.2.tar.gz(r-4.7-any)LFApp_1.4.2.tar.gz(r-4.6-any)
LFApp_1.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
LFApp/json (API)
| # Install 'LFApp' in R: |
| install.packages('LFApp', repos = c('https://fpaskali.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fpaskali/lfapp/issues
bioinformaticsbiomedical-image-processingcalibrationimage-processingshiny
Last updated from:00c64dd5e5. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 184 | ||
| source / vignettes | ERROR | 274 | ||
| linux-release | WARNING | 192 | ||
| macos-release | WARNING | 212 | ||
| macos-oldrel | WARNING | 262 | ||
| windows-devel | WARNING | 133 | ||
| windows-release | WARNING | 137 | ||
| windows-oldrel | WARNING | 118 | ||
| wasm-release | OK | 140 |
Exports:run_analysisrun_calrun_corerun_mobile_analysisrun_mobile_calrun_mobile_corerun_mobile_quanrun_quanthreshold_litriangle
Dependencies:abindbase64encBiocGenericsbitopsbslibcachemcaToolsclicommonmarkcpp11crosstalkdigestDTEBImageevaluatefarverfastmapfftwtoolsfontawesomefsgenericsggplot2gluegplotsgtablegtoolshighrhtmltoolshtmlwidgetshttpuvisobandjpegjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelocfitmagrittrMatrixmemoisemgcvmimenlmeotelpillarpkgconfigpngpromisesR6rappdirsRColorBrewerRcppRCurlrlangrmarkdownS7sassscalesshinyshinyFilesshinyjsshinyMobileshinythemessourcetoolstibbletifftinytexutf8vctrsviridisLitewithrxfunxtableyaml
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
LFA App User's Guide
Last update: 2026-05-05
Started: 2021-03-17
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Shiny Apps for Lateral Flow Assays. | LFApp-package LFApp |
| Run Analysis Shiny Apps | run_analysis run_cal run_core run_mobile_analysis run_mobile_cal run_mobile_core run_mobile_quan run_quan |
| Li Thresholding Algorithm | threshold_li |
| Triangle Thresholding Algorithm | triangle |