starmapVR

starmapVR visualizes single-cell and spatial omic data using immersive three-dimensional representations to enable exploration of molecular expression and spatial context.

Key Features:

• Immersive visualization: Integrates virtual reality (VR) visualization with three-dimensional representation to explore complex single-cell and spatial omic datasets.
• 3D scatter plot integration: Uses 3D scatter plots to represent individual cells in spatial or reduced-dimensional space.
• Star plots (radar charts): Embeds star plots (radar charts) at data points to depict multivariate molecular expression and phenotypic properties per cell.
• Single-cell imaging support: Renders images for single-cell imaging data alongside quantitative representations.
• 2.5D spatial transcriptomics: Presents spatial transcriptomic data in a 2.5D format that overlays 2D single-cell expression onto histological imagery.
• Scalability: Demonstrates capability to handle large single-cell and spatial omic datasets.

Scientific Applications:

• Spatial context analysis: Exploration of the spatial context of single-cell expression to investigate cellular interactions and tissue architecture.
• Multivariate single-cell interpretation: Interpretation of multivariate molecular and phenotypic heterogeneity at single-cell resolution using embedded star plots.
• Integration with histology: Integration of spatial transcriptomics with histological imagery to relate molecular profiles to tissue morphology.

Methodology:

Combines virtual reality visualization with 3D scatter plots and star plots (radar charts), renders single-cell images for imaging data, and represents spatial transcriptomics in a 2.5D format that overlays 2D expression onto histological imagery.