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Image processing and analysis toolbox for R

Bioconductor version: Release (3.19)

EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.

Author: Andrzej Oleś, Gregoire Pau, Mike Smith, Oleg Sklyar, Wolfgang Huber, with contributions from Joseph Barry and Philip A. Marais

Maintainer: Andrzej Oleś <andrzej.oles at>

Citation (from within R, enter citation("EBImage")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to EBImage HTML R Script
Reference Manual PDF


biocViews Software, Visualization
Version 4.46.0
In Bioconductor since BioC 1.8 (R-2.3) (18 years)
License LGPL
Depends methods
Imports BiocGenerics(>= 0.7.1), graphics, grDevices, stats, abind, tiff, jpeg, png, locfit, fftwtools (>= 0.9-7), utils, htmltools, htmlwidgets, RCurl
System Requirements
Bug Reports
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Suggests BiocStyle, digest, knitr, rmarkdown, shiny
Linking To
Depends On Me CRImage, cytomapper, flowcatchR, DonaPLLP2013, furrowSeg, MerfishData, GiNA, nucim
Imports Me bnbc, Cardinal, cytoviewer, flowCHIC, heatmaps, imcRtools, MoleculeExperiment, RBioFormats, simpleSeg, SpatialFeatureExperiment, SpatialOmicsOverlay, synapsis, yamss, BioImageDbs, bioimagetools, GoogleImage2Array, LFApp, LOMAR, RockFab, SAFARI
Suggests Me HilbertVis, Voyager, DmelSGI, spicyWorkflow, aroma.core, ExpImage, glow, ijtiff, juicr, lidR, metagear, pliman, rcaiman, SIPmg
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package EBImage_4.46.0.tar.gz
Windows Binary
macOS Binary (x86_64) EBImage_4.46.0.tgz
macOS Binary (arm64) EBImage_4.46.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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