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colocr: Conduct Co-Localization Analysis of Fluorescence Microscopy Images

Automate the co-localization analysis of fluorescence microscopy images. Selecting regions of interest, extract pixel intensities from the image channels and calculate different co-localization statistics. The methods implemented in this package are based on Dunn et al. (2011) <doi:10.1152/ajpcell.00462.2010>.

Version: 0.1.1
Imports: imager, magick, shiny, scales, magrittr
Suggests: testthat, shinytest, covr, knitr, rmarkdown, devtools, purrr, shinyBS
Published: 2020-05-08
Author: Mahmoud Ahmed ORCID iD [aut, cre]
Maintainer: Mahmoud Ahmed <mahmoud.s.fahmy at students.kasralainy.edu.eg>
BugReports: https://github.com/ropensci/colocr/issues
License: GPL-3
URL: https://docs.ropensci.org/colocr, https://github.com/ropensci/colocr
NeedsCompilation: no
Citation: colocr citation info
Materials: README NEWS
CRAN checks: colocr results

Documentation:

Reference manual: colocr.pdf
Vignettes: Using colocr

Downloads:

Package source: colocr_0.1.1.tar.gz
Windows binaries: r-devel: colocr_0.1.1.zip, r-release: colocr_0.1.1.zip, r-oldrel: colocr_0.1.1.zip
macOS binaries: r-release (arm64): colocr_0.1.1.tgz, r-oldrel (arm64): colocr_0.1.1.tgz, r-release (x86_64): colocr_0.1.1.tgz, r-oldrel (x86_64): colocr_0.1.1.tgz
Old sources: colocr archive

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.