To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBImage")

In most cases, you don't need to download the package archive at all.

EBImage

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see EBImage.

Image processing and analysis toolbox for R

Bioconductor version: 3.3

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 embl.de>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBImage")

Documentation

HTML	R Script	Introduction to EBImage
PDF		Reference Manual
Text		NEWS

Details

biocViews	Software, Visualization
Version	4.14.2
In Bioconductor since	BioC 1.8 (R-2.3) (10.5 years)
License	LGPL
Depends
Imports	BiocGenerics(>= 0.7.1), methods, graphics, grDevices, stats, abind, tiff, jpeg, png, locfit, fftwtools (>= 0.9-7), utils
LinkingTo
Suggests	BiocStyle, digest, knitr, rmarkdown
SystemRequirements
Enhances
URL	https://github.com/aoles/EBImage
BugReports	https://github.com/aoles/EBImage/issues
Depends On Me	CRImage, DonaPLLP2013, FISHalyseR, flowcatchR, furrowSeg, HD2013SGI, imageHTS, PGPC
Imports Me	CONFESS, flowCHIC
Suggests Me	DmelSGI, ggtree, HilbertVis, tofsims
Build Report

Package Archives

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

Package Source	EBImage_4.14.2.tar.gz
Windows Binary	EBImage_4.14.2.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	EBImage_4.14.2.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/EBImage/tree/release-3.3
Package Short Url	http://bioconductor.org/packages/EBImage/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

Package vignettes and manuals.
Workflows for learning and use.
Course and conference material.
Videos.
Community resources and tutorials.

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Support site - for questions about Bioconductor packages
Bioc-devel mailing list - for package developers