Stereo3D

Stereo3D converts conventional 3D scatterplots and network figures comprising points and lines into stereoscopic image pairs to enhance depth perception for visualization and analysis of complex high-dimensional biological data.

Key Features:

• Stereoscopic enhancement: Converts 3D scatterplots and network diagrams into left/right stereo image pairs to encode depth information for points and lines.
• R package implementation: Provided as an implementation within the R environment for generation of stereoscopic visualizations from existing 3D plots.
• Integration capability: Produces code and image outputs intended for incorporation into existing visualization workflows and software pipelines.

Scientific Applications:

• High-dimensional data visualization: Enhances interpretation of complex multi-dimensional biological datasets by making spatial relationships and depth cues explicit.
• Network and structural analysis: Aids exploration of 3D network topology and spatial arrangements in molecular interaction or spatial transcriptomics-like data.

Methodology:

Conversion of conventional 3D scatterplots and network diagrams (points and lines) into stereoscopic image pairs using stereoscopic image generation.