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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 |
DOI: | 10.32614/CRAN.package.colocr |
Author: | Mahmoud Ahmed [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 |
Reference manual: | colocr.pdf |
Vignettes: |
Using colocr |
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 |
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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.
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