EBImage
EBImage – Image Processing and Analysis in R
EBImage is an R/Bioconductor package for general-purpose image reading, writing, processing, and analysis. It provides tools for working with biological image data and is particularly useful in high-throughput microscopy-based cellular assays. EBImage supports image transformation, cell segmentation, and extraction of quantitative cellular descriptors for downstream analysis.
Key benefits
R/Bioconductor package for image processing and analysis
Supports reading, writing, and manipulation of image data
Provides tools for microscopy image transformation and segmentation
Enables extraction of quantitative cellular descriptors
Integrates image analysis into reproducible R-based workflows
Applications
Processing and analysis of microscopy images
Cell segmentation in high-throughput cellular assays
Quantification of cellular phenotypes from image data
Image transformation, filtering, and feature extraction
Integration of image-derived measurements with downstream statistical analysis
Intended use
EBImage is intended for bioimage analysts, cell biologists, bioinformaticians, microscopy researchers, and R users who need programmable tools for image processing and quantitative image analysis. It is particularly suited for users working with high-throughput microscopy assays who want to segment cells, extract cellular features, and analyse image-derived data within the Bioconductor ecosystem.