BEHAV3D
BEHAV3D combines multi-color live 3D imaging with computational analysis to study tumor-immune interactions and assess how solid and liquid tumors respond to cellular immunotherapy.
Key Features:
- Tumor death dynamics analysis: Quantitative analysis of tumor cell death dynamics at single-organoid, single-cell, and population levels.
- T cell behavior classification: Classification of T cell behaviors involved in tumor targeting.
- Data-informed 3D visualization: Generation of 3D visualizations and videos for detailed inspection and interpretation of results.
- Heterogeneity capture: Captures both inter- and intratumoral heterogeneity in treatment outcomes.
Scientific Applications:
- Immunotherapy response assessment: Refined assessment of how solid and liquid tumors respond to cellular immunotherapy.
- T cell mode of action studies: Reveals behavioral patterns and mechanistic insights into T cell tumor targeting.
- Immunotherapy product comparison: Enables comparing, prioritizing, and improving immunotherapy products by highlighting behavioral differences between individual tumor donors, distinct T cell therapy concepts, or subpopulations.
Methodology:
Multi-color live 3D imaging with live cell dyes, segmentation-based image processing to track individual organoids, tumor and immune cells, and an analytical pipeline for behavioral profiling.
Topics
Details
- Added:
- 7/28/2026
- Last Updated:
- 7/28/2026
Operations
Publications
Links
Repository
https://github.com/imAIgene-Dream3D/BEHAV3D(Github repository for source code access and download)