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This is the development version of EBImage; for the stable release version, see EBImage.

Image processing and analysis toolbox for R

Bioconductor version: Development (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>

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


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HTML Introduction to EBImage
PDF   Reference Manual
Text   NEWS


biocViews Software, Visualization
Version 4.13.15
In Bioconductor since BioC 1.8 (R-2.3) (10 years)
License LGPL
Imports BiocGenerics(>= 0.7.1), methods, graphics, grDevices, stats, abind, tiff, jpeg, png, locfit, fftwtools (>= 0.9-7), utils
Suggests BiocStyle, digest, knitr, rmarkdown
Depends On Me CRImage, DonaPLLP2013, FISHalyseR, flowcatchR, furrowSeg, HD2013SGI, imageHTS, PGPC
Imports Me CONFESS, flowCHIC
Suggests Me DmelSGI, ggtree, HilbertVis, tofsims
Build Report  

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Package Source EBImage_4.13.15.tar.gz
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Mac OS X 10.6 (Snow Leopard) EBImage_4.11.14.tgz
Mac OS X 10.9 (Mavericks) EBImage_4.13.15.tgz
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