AI 'Self-Driving' Microscope Predicts and Analyzes Protein Aggregation

Key Details

• 1Developed a self-driving imaging system combining multiple microscopy methods and deep learning.
• 2System predicts and detects protein aggregation—a hallmark of neurodegenerative diseases—in living cells.
• 3Uses label-free microscopy to minimize sample alteration and maximize imaging efficiency.
• 4Upon aggregation detection, system triggers Brillouin microscope to analyze biomechanical properties of aggregates.
• 5Aggregation onset detection achieved 91% accuracy using a specialized deep learning algorithm.
• 6Published in Nature Communications, with potential impact on drug discovery and precision medicine.