ImageM

ImageM provides processing, visualization, and analysis of multi-dimensional bio-imaging data, including 2D/3D spatial configurations, temporal sequences, and multi-channel/multi-variate datasets to support quantitative bio-image analysis.

Key Features:

• Visualization: Supports rendering and exploration of 2D/3D spatial, temporal, and multi-channel image data.
• Image processing algorithms: Includes a comprehensive collection of image processing algorithms for analytical tasks in bio-image analysis.
• Spatial calibration management: Manages spatial calibration data for accurate quantitative imaging analyses.
• Multi-variate image analysis: Provides facilities for analyzing multi-variate and multi-channel images.
• Cross-platform compatibility: Operates within Matlab and Octave environments.

Scientific Applications:

• High-dimensional bio-image analysis: Applied to analysis of high-dimensional imaging data from modern microscopy and imaging devices.
• Quantitative imaging: Enables quantitative imaging analyses that rely on spatial calibration.
• Multi-channel and temporal data analysis: Supports analysis workflows for temporal sequences and multi-channel/multi-variate image datasets.

Methodology:

Implements image processing algorithms, spatial calibration management, multi-variate image analysis, and visualization for multi-dimensional (2D/3D, temporal, multi-channel) datasets within Matlab and Octave.