Package: simpleSeg Type: Package Title: A package to perform simple cell segmentation Description: Image segmentation is the process of identifying the borders of individual objects (in this case cells) within an image. This allows for the features of cells such as marker expression and morphology to be extracted, stored and analysed. simpleSeg provides functionality for user friendly, watershed based segmentation on multiplexed cellular images in R based on the intensity of user specified protein marker channels. simpleSeg can also be used for the normalization of single cell data obtained from multiple images. Version: 1.15.0 Date: 2022-04-21 Authors@R: c(person("Nicolas", "Canete", email = "nicolas.canete@sydney.edu.au", role = c("aut")), person("Alexander", "Nicholls", email = "alexanderwnicholls@gmail.com", role = c("aut")), person("Ellis", "Patrick", email = "ellis.patrick@sydney.edu.au", role = c("aut", "cre"))) VignetteBuilder: knitr Encoding: UTF-8 biocViews: Classification, Survival, SingleCell, Normalization, Spatial Imports: BiocParallel, EBImage, terra, stats, spatstat.geom, S4Vectors, grDevices, SummarizedExperiment, methods, cytomapper Suggests: BiocStyle, testthat (>= 3.0.0), knitr, ggplot2 License: GPL-3 RoxygenNote: 7.2.3 Config/testthat/edition: 3 BugReports: https://github.com/SydneyBioX/simpleSeg/issues URL: https://sydneybiox.github.io/simpleSeg/ https://github.com/SydneyBioX/simpleSeg Config/pak/sysreqs: cmake libfftw3-dev libfontconfig1-dev libfreetype6-dev libfribidi-dev libgdal-dev gdal-bin libgeos-dev make libharfbuzz-dev libmagick++-dev gsfonts libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libssl-dev libproj-dev libsqlite3-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:59:20 UTC RemoteUrl: https://github.com/bioc/simpleSeg RemoteRef: HEAD RemoteSha: 446373ed65f578795922997bc3b09ab4bcda50e0 NeedsCompilation: no Packaged: 2026-07-10 09:52:52 UTC; root Author: Nicolas Canete [aut], Alexander Nicholls [aut], Ellis Patrick [aut, cre] Maintainer: Ellis Patrick Depends: R (>= 3.5.0)