This is the development version of cytoviewer; for the stable release version, see cytoviewer.
An interactive multi-channel image viewer for RBioconductor version: Development (3.22)
This R package supports interactive visualization of multi-channel images and segmentation masks generated by imaging mass cytometry and other highly multiplexed imaging techniques using shiny. The cytoviewer interface is divided into image-level (Composite and Channels) and cell-level visualization (Masks). It allows users to overlay individual images with segmentation masks, integrates well with SingleCellExperiment and SpatialExperiment objects for metadata visualization and supports image downloads.
Author: Lasse Meyer [aut, cre] ORCID: 0000-0002-1660-1199 , Nils Eling [aut] ORCID: 0000-0002-4711-1176
Maintainer: Lasse Meyer <lasse.meyer at dqbm.uzh.ch>
Citation (from within R, entercitation("cytoviewer")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("cytoviewer")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cytoviewer")
Interactive multi-channel image visualization in R HTML R Script Reference Manual PDF NEWS Text Details biocViews DataImport, ImmunoOncology, MultiChannel, OneChannel, SingleCell, Software, Spatial, TwoChannel Version 1.9.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License GPL-3 Depends Imports shiny, shinydashboard, utils, colourpicker, shinycssloaders, svgPanZoom, viridis, archive, grDevices, RColorBrewer, svglite, EBImage, methods, cytomapper, SingleCellExperiment, S4Vectors, SummarizedExperiment System Requirements URL https://github.com/BodenmillerGroup/cytoviewer Bug Reports https://github.com/BodenmillerGroup/cytoviewer/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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