Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography.

ABSTRACT: A major challenge in neuroscience is visualizing the structure of the human brain at different scales. Traditional histology reveals micro- and meso-scale brain features but suffers from staining variability, tissue damage, and distortion, which impedes accurate 3D reconstructions. The emerging label-free serial sectioning optical coherence tomography (S-OCT) technique offers uniform 3D imaging capability across samples but has poor histological interpretability despite its sensitivity to cortical features. Here, we present a novel 3D imaging framework that combines S-OCT with a deep-learning digital staining (DS) model. This enhanced imaging modality integrates high-throughput 3D imaging, low sample variability and high interpretability, making it suitable for 3D histology studies. We dev

SUBMITTER: Cheng S 

PROVIDER: S-EPMC11746934 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature