Package: cytoviewer 1.13.0

Lasse Meyer

cytoviewer: An interactive multi-channel image viewer for R

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.

Authors:Lasse Meyer [aut, cre], Nils Eling [aut]

cytoviewer_1.13.0.tar.gz
cytoviewer_1.13.0.zip(r-4.7)cytoviewer_1.13.0.zip(r-4.6)cytoviewer_1.13.0.zip(r-4.5)
cytoviewer_1.13.0.tgz(r-4.6-any)cytoviewer_1.13.0.tgz(r-4.5-any)
cytoviewer_1.13.0.tar.gz(r-4.7-any)cytoviewer_1.13.0.tar.gz(r-4.6-any)
cytoviewer_1.13.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
cytoviewer/json (API)
NEWS

# Install 'cytoviewer' in R:
install.packages('cytoviewer', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bodenmillergroup/cytoviewer/issues

On BioConductor:cytoviewer-1.13.0(bioc 3.24)cytoviewer-1.12.0(bioc 3.23)

immunooncologysoftwaresinglecellonechanneltwochannelmultichannelspatialdataimportbioconductorimagingshinyvisualization

6.23 score 7 stars 54 scripts 360 downloads 1 exports 136 dependencies

Last updated from:6b2c61fd59. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE227
linux-devel-x86_64OK444
source / vignettesOK327
linux-release-x86_64OK414
macos-release-arm64OK271
macos-oldrel-arm64OK289
windows-develOK408
windows-releaseOK391
windows-oldrelOK382
wasm-releaseOK199

Exports:cytoviewer

Dependencies:abindarchiveaskpassbase64encbeeswarmBHBiobaseBiocFileCacheBiocGenericsbiocmakeBiocParallelbitbit64bitopsblobbslibcachemclicodetoolscolourpickercommonmarkcpp11curlcytomapperDBIdbplyrDelayedArraydigestdir.expirydplyrEBImageevaluatefarverfastmapfftwtoolsfilelockfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesggbeeswarmggplot2gluegridExtragtableh5mreadHDF5Arrayhighrhtmltoolshtmlwidgetshttpuvhttr2IRangesisobandjpegjquerylibjsonliteknitrlabelinglambda.rlaterlatticelifecyclelocfitmagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInnlsopensslotelpillarpkgconfigpngpromisespurrrR6rappdirsrasterRColorBrewerRcppRCurlrhdf5rhdf5filtersRhdf5librjsonrlangrmarkdownRSQLiteS4ArraysS4VectorsS7sassscalesSeqinfoshinyshinycssloadersshinydashboardshinyjsSingleCellExperimentsnowsourcetoolsspSparseArraySpatialExperimentstringistringrSummarizedExperimentsvglitesvgPanZoomsyssystemfontsterratextshapingtibbletidyrtidyselecttifftinytexutf8vctrsviporviridisviridisLitewithrxfunxtableXVectoryaml

cytoviewer - Interactive multi-channel image visualization in R

Rendered fromcytoviewer.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2023-10-05
Started: 2023-03-23