EBImage

DOI: 10.18129/B9.bioc.EBImage    

Image processing and analysis toolbox for R

Bioconductor version: Release (3.11)

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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	4.30.0
In Bioconductor since	BioC 1.8 (R-2.3) (14.5 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
Imports Me	bnbc, CONFESS, flowCHIC, heatmaps, MaxContrastProjection, sojourner, yamss
Suggests Me	DmelSGI, HilbertVis, tofsims
Links To Me
Build Report

Package Archives

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

Source Package	EBImage_4.30.0.tar.gz
Windows Binary	EBImage_4.29.2.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	EBImage_4.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/EBImage
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/EBImage
Package Short Url	https://bioconductor.org/packages/EBImage/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive