AI-driven whole-brain cellular profiling using 3D microscopy

Background & aim:

Neurodegenerative diseases are characterized by complex, large-scale structural and cellular alterations across the brain. Understanding these changes requires comprehensive, whole-brain analysis at high spatial resolution.

Three-dimensional light sheet fluorescence microscopy (3D LSFM) enables rapid imaging of intact brains at micrometer resolution. Through robotic sample handling and automated acquisition, more than 500 brains can be scanned per week, generating 20–1000 GB of data per sample. However, the sheer volume and complexity of these datasets make conventional image analysis approaches non-scalable and impractical.

AI-driven image analysis provides a high-throughput, automated solution for extracting quantitative information from large-scale 3D brain datasets, enabling systematic and unbiased characterization of neurodegenerative pathology.