This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see EBImage.
Bioconductor version: 3.9
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")
):
To install this package, start R (version "3.6") 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.
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 |
Reference Manual | ||
Text | NEWS |
biocViews | Software, Visualization |
Version | 4.26.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (13.5 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, DonaPLLP2013, FISHalyseR, flowcatchR, furrowSeg, HD2013SGI, imageHTS, PGPC |
Imports Me | bnbc, CONFESS, flowCHIC, heatmaps, MaxContrastProjection, yamss |
Suggests Me | DmelSGI, HilbertVis, tofsims |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | EBImage_4.26.0.tar.gz |
Windows Binary | EBImage_4.26.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | EBImage_4.26.0.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 |
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