vLUME

vLUME visualizes and analyzes large-scale three-dimensional single-molecule localization microscopy (SMLM) point-cloud datasets to enable quantitative spatial exploration of biological structures.

Key Features:

• 3D point-cloud rendering: Renders extensive three-dimensional SMLM point-cloud datasets to represent spatial relationships within samples.
• Segmentation and structure isolation: Provides segmentation tools to identify and isolate specific regions or structures within point-cloud data.
• Local (RoI) analysis: Performs localized quantitative analysis on subregions of point-cloud datasets defined as Regions of Interest (RoI).
• Data export: Exports analyzed features and dataset subsets for downstream analysis or integration with other workflows.

Scientific Applications:

• Cellular architecture mapping: Enables analysis of the three-dimensional organization of cellular structures at molecular resolution.
• Protein localization and interaction studies: Supports quantification of spatial distributions relevant to protein interactions.
• Spatial analysis of molecular assemblies: Facilitates study of complex local geometries and assemblies within biological samples.

Methodology:

Uses virtual reality technology to render, navigate, and manipulate SMLM point-cloud datasets for visualization and localized analysis.