Bioconductor version: 2.10
EBImage is an R package which provides general purpose functionality for the reading, writing, processing and analysis of images. Furthermore, in the context of microscopy based cellular assays, EBImage offers tools to transform the images, segment cells and extract quantitative cellular descriptors.
Author: Oleg Sklyar, Gregoire Pau, Mike Smith, Wolfgang Huber
Maintainer: Gregoire Pau <gpau at ebi.ac.uk>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("EBImage")
To cite this package in a publication, start R and enter:
citation("EBImage")
R Script | EBImage installation | |
R Script | Introduction to EBImage | |
Reference Manual | ||
Text | LICENSE |
biocViews | Software, Visualization |
Depends | R (>= 2.8.0), methods, graphics, stats, utils, abind |
Imports | |
Suggests | |
System Requirements | ImageMagick (>= 6.3.7), GTK+ (> 2.6) |
License | Artistic-2.0 |
URL | |
Depends On Me | CRImage, imageHTS |
Imports Me | |
Suggests Me | HilbertVis |
Version | 3.12.0 |
Since | Bioconductor 1.8 (R-2.3) |
Package Source | EBImage_3.12.0.tar.gz |
Windows Binary | EBImage_3.12.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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