VesselVio

VesselVio performs quantitative analysis and visualization of segmented vasculature datasets to characterize vascular network structure in 2D and 3D biological imaging data.

Key Features:

• Segmentation input support: Accepts pre-binarized vasculature datasets for downstream analysis and visualization.
• Vascular graph input: Loads pre-constructed vascular graphs for network-based measurements.
• Annotation handling: Supports importing datasets with annotations for region- or label-specific analyses.
• Customizable processing parameters: Provides adjustable analysis parameters to tailor measurements to specific datasets.
• 2D and 3D format support: Handles multiple file formats of both 2D and 3D vasculature imaging data.
• Validation capability: Has been evaluated against ground-truth datasets to assess reliability and accuracy.
• Visualization: Produces visual representations of vascular networks to aid structural interpretation.

Scientific Applications:

• Vascular network quantification: Measurement of network topology and morphology from segmented vasculature data.
• Annotated whole-brain analysis: Analysis of annotated mouse whole-brain vasculature volumes for region-specific studies.
• Benchmarking and validation: Comparative evaluation of vascular analysis outputs against ground-truth datasets.
• Structural visualization: Visual analysis of vascular architecture in 2D and 3D imaging studies.

Methodology:

Loads pre-binarized vasculature datasets and pre-constructed vascular graphs with annotations, applies user-specified processing parameters, supports multiple 2D and 3D file formats, and evaluates outputs against ground-truth datasets.