optical-clearing-labeling-for-light-sheet-fluorescence-microscopy

Optical Clearing and Labeling for Light-sheet Fluorescence Microscopy in Large-scale Human Brain Imaging

Despite the numerous clearing techniques that emerged in the last decade, processing postmortem human brains remains a challenging task due to its ...

University of Florence

Accurate labeling of specific layers in the human cerebral cortex is crucial for advancing our understanding of neurodevelopmental and neurodegenerative disorders. Leveraging recent advancements in ultra-high resolution  MRI, we present a novel semi-supervised segmentation model capable of identifying supragranular and infragranular layers in  MRI with unprecedented precision. On a dataset consisting of 17 whole-hemisphere  scans at 120 m, we propose a multi-resolution U-Nets framework (MUS) that integrates global and local structural information, achieving reliable segmentation maps of the entire hemisphere, with Dice scores over 0.8 for supra- and infragranular layers. This enables surface modeling, atlas construction, anomaly detection in disease states, and cross-modality validation, while also paving the way for finer layer segmentation. Our approach offers a powerful tool for comprehensive neuroanatomical investigations and holds promise for advancing our mechanistic understanding of progression of neurodegenerative diseases.

Josephine Ramazzotti

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