Bioconductor Developer Survey 2026 Now Open!

simpleSeg

A package to perform simple cell segmentation

Bioconductor version: 3.24 · Package version: 1.15.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.simpleSeg

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("simpleSeg")

Details

MaintainerEllis Patrick <ellis.patrick@sydney.edu.au>
AuthorNicolas Canete [aut], Alexander Nicholls [aut], Ellis Patrick [aut, cre]
LicenseGPL-3
URLhttps://sydneybiox.github.io/simpleSeg/ https://github.com/SydneyBioX/simpleSeg
Bug Reportshttps://github.com/SydneyBioX/simpleSeg/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsClassification, Normalization, SingleCell, Software, Spatial, Survival
Package Short Url https://bioconductor.org/packages/simpleSeg/

Citation

From within R, enter citation("simpleSeg"):

Nicolas Canete, Alexander Nicholls, Ellis Patrick. simpleSeg: A package to perform simple cell segmentation. doi:10.18129/B9.bioc.simpleSeg, R package version 1.15.0, https://bioconductor.org/packages/simpleSeg.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagesimpleSeg_1.15.0.tar.gz
Windows binary (x86_64)simpleSeg_1.15.0.zip
macOS binary (arm64)simpleSeg_1.15.0.tgz
macOS binary (x86_64)simpleSeg_1.15.0.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: BiocParallel, EBImage, terra, stats, spatstat.geom, S4Vectors, grDevices, SummarizedExperiment, methods, cytomapper

Suggests: BiocStyle, testthat (>= 3.0.0), knitr, ggplot2

Reverse dependencies

Imports Me (2): lisaClust, spicyR