Unlocking Biological Insights from AI Models
Using Dictionary Learning to Extract Concepts from Microscopy Foundation Models
This research introduces a novel approach using dictionary learning to interpret complex foundation models and discover unknown biological concepts from cell imagery.
- Extracts biologically-meaningful concepts (like cell type and genetic perturbation) from microscopy foundation models
- Demonstrates how AI can enable scientific discovery in fields with less human-interpretable data
- Provides a pathway to identify unknown biological concepts from cell images
This work bridges AI interpretability techniques with biological research, offering potential breakthroughs in how we analyze cellular structures and functions through machine learning.