EBImage

DOI: 10.18129/B9.bioc.EBImage  

Image processing and analysis toolbox for R

Bioconductor version: Release (3.16)

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 gmail.com>

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

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("EBImage")

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("EBImage")

 

HTML R Script Introduction to EBImage
PDF   Reference Manual
Text   NEWS

Details

biocViews Software, Visualization
Version 4.40.1
In Bioconductor since BioC 1.8 (R-2.3) (17 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
LinkingTo
Suggests BiocStyle, digest, knitr, rmarkdown, shiny
SystemRequirements
Enhances
URL https://github.com/aoles/EBImage
BugReports https://github.com/aoles/EBImage/issues
Depends On Me Cardinal, CRImage, cytomapper, DonaPLLP2013, FISHalyseR, flowcatchR, furrowSeg, HD2013SGI, imageHTS, MerfishData
Imports Me BioImageDbs, bnbc, CONFESS, flowCHIC, heatmaps, imcRtools, simpleSeg, sojourner, synapsis, yamss
Suggests Me DmelSGI, HilbertVis
Links To Me
Build Report  

Package Archives

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

Source Package EBImage_4.40.1.tar.gz
Windows Binary EBImage_4.40.1.zip (64-bit only)
macOS Binary (x86_64) EBImage_4.40.1.tgz
macOS Binary (arm64) EBImage_4.40.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/EBImage
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EBImage
Bioc Package Browser https://code.bioconductor.org/browse/EBImage/
Package Short Url https://bioconductor.org/packages/EBImage/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.16 Source Archive

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