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 3.4 of Bioconductor; for the stable, up-to-date release version, see EBImage.

Image processing and analysis toolbox for R

Bioconductor version: 3.4

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 4.16.0
In Bioconductor since BioC 1.8 (R-2.3) (11 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, yamss
Suggests Me DmelSGI, ggtree, HilbertVis, tofsims
Build Report

Package Archives

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

Package Source EBImage_4.16.0.tar.gz
Windows Binary EBImage_4.16.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) EBImage_4.16.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/EBImage/tree/release-3.4
Package Short Url http://bioconductor.org/packages/EBImage/
Package Downloads Report Download Stats

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