Image analysis

Software for analysis, visualization, simulation, and acquisition  of data from spectroscopy and fluorescence microscopy.

• Fluorescence Correlation Spectroscopy (FCS)
• Fluorescence Lifetime Imaging (FLIM) and Phasor plots
• Förster Resonance Energy Transfer (FRET)
• Generalized Polarization (GP) and Spectral Phasors
• Number and Brightness (N&B)
• Photon Counting Histogram (PCH)
• Raster and Spatio-temporal Image Correlation Spectroscopy (RICS and STICS)
• Single Particle and Modulation Tracking (SPT, MT)
• Image Mean Square Displacement (iMSD)
• Pair correlation function (pCF)

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.

EBImage is available through the Bioconductor software project (www.bioconductor.org). Strengths Lightweight Suitable for automated, scripted analyses All functions are documented with examples Modular links to R and Bioconductor software, notably imageHTS and cellHTS2 Community support via the Bioconductor mailing list Reproducible (image) analysis using the Sweave report-writing system

Measures wound-healing assay videos, 

 For each video, the velocity and the order parameter are analyzed in time and space to extract quantitative parameters characterizing the cell motility phenotype. The different conditions (videos) can then be classified according to these parameters.