DIVA

DIVA enables interactive exploration and quantitative analysis of three-dimensional microscopy image stacks within virtual reality for volumetric visualization and measurement.

Key Features:

• Automatic 3D reconstruction: Generates detailed three-dimensional reconstructions from raw experimental image stacks.
• High-quality volume rendering: Produces high-quality volume renderings of volumetric microscopy data.
• Native TIFF compatibility: Reads and processes native TIFF image stacks.
• Stereoscopy and motion tracking: Leverages stereoscopy and motion tracking technologies from commercial virtual reality headsets for immersive rendering.
• Virtual reality integration: Integrates reconstructed volumes into a virtual reality interface for spatial interaction.
• Volumetric measurement: Supports viewing, manipulation, and precise volumetric measurements of microscopy images.
• Cross-modality benchmarking: Has been benchmarked using confocal microscopy, light-sheet microscopy, and electron microscopy datasets.

Scientific Applications:

• 3D microscopy visualization: Visualization of three-dimensional microscopy datasets in an immersive stereoscopic environment.
• Quantitative volumetrics: Quantitative volumetric measurement and morphological analysis of biological structures.
• Immersive spatial analysis: Spatial exploration and interpretation of subcellular and tissue-scale structures using virtual reality.
• Modality comparison and validation: Comparative analysis and benchmarking across confocal, light-sheet, and electron microscopy data.

Methodology:

Automatic three-dimensional reconstruction from raw image stacks, high-quality volume rendering, native TIFF stack processing, stereoscopic rendering with motion tracking from commercial virtual reality headsets, and tools for precise volumetric measurement.