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Bioconductor - cytoviewer (development version)

cytoviewer

This is the development version of cytoviewer; for the stable release version, see cytoviewer.

An interactive multi-channel image viewer for R

Bioconductor 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, enter citation("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.

Documentation

To 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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