LEVERSC

LEVERSC visualizes multi-channel 3-D fluorescence microscopy images using a hardware-accelerated WebGL raycasting engine to enable quantitative, scriptable, and reproducible voxel-level analysis.

Key Features:

• WebGL hardware-accelerated raycasting engine: Custom WebGL-based, hardware-accelerated raycasting for high-quality volume rendering of 3-D datasets.
• Multi-channel 3-D rendering: Supports visualization of multi-channel fluorescence microscopy volumes to display and compare multiple fluorophores simultaneously.
• Interactive voxel localization: Interactive voxel-level localization for quantitative measurements directly within the rendered volume.
• Scripting interface for reproducible visualizations: Scriptable generation of dynamic visualizations to enable reproducible visualization workflows.
• Programmatic integration: Full scriptability with integration points for MATLAB, Python, and Java/ImageJ for automated or custom analyses.

Scientific Applications:

• 3-D fluorescence microscopy analysis: Visualization and quantitative inspection of volumetric fluorescence microscopy datasets across multiple channels.
• Cellular biology: Examination of subcellular structures and spatial relationships within cells using voxel-level visualization.
• Neurobiology: Rendering and analysis of neuronal structures and multi-channel labeling in three dimensions.
• Developmental biology: Visualization of spatial and temporal patterns in developing tissues imaged by fluorescence microscopy.

Methodology:

Custom WebGL hardware-accelerated raycasting engine for volume rendering, interactive voxel localization for quantitative voxel-level analysis, and a scripting interface for reproducible dynamic visualizations and automation.