Intravital 3D visualization and segmentation of murine neural networks at micron resolution.

Autor: Lautman Z; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.; Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA., Winetraub Y; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.; Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA.; Biophysics Program at Stanford, Stanford, CA, 94305, USA.; The Bio-X Program, Stanford, CA, 94305, USA., Blacher E; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, 94305, USA.; Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus Givat-Ram, 9190401, Jerusalem, Israel., Yu C; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.; Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA., Terem I; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.; Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA., Chibukhchyan A; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA., Marshel JH; CNC Department, Stanford University, Stanford, CA, 94305, USA., de la Zerda A; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA. adlz@stanford.edu.; Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA. adlz@stanford.edu.; Biophysics Program at Stanford, Stanford, CA, 94305, USA. adlz@stanford.edu.; The Bio-X Program, Stanford, CA, 94305, USA. adlz@stanford.edu.; Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA. adlz@stanford.edu.; The Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA. adlz@stanford.edu.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2022 Jul 30; Vol. 12 (1), pp. 13130. Date of Electronic Publication: 2022 Jul 30.
DOI: 10.1038/s41598-022-14450-0
Abstrakt: Optical coherence tomography (OCT) allows label-free, micron-scale 3D imaging of biological tissues' fine structures with significant depth and large field-of-view. Here we introduce a novel OCT-based neuroimaging setting, accompanied by a feature segmentation algorithm, which enables rapid, accurate, and high-resolution in vivo imaging of 700 μm depth across the mouse cortex. Using a commercial OCT device, we demonstrate 3D reconstruction of microarchitectural elements through a cortical column. Our system is sensitive to structural and cellular changes at micron-scale resolution in vivo, such as those from injury or disease. Therefore, it can serve as a tool to visualize and quantify spatiotemporal brain elasticity patterns. This highly transformative and versatile platform allows accurate investigation of brain cellular architectural changes by quantifying features such as brain cell bodies' density, volume, and average distance to the nearest cell. Hence, it may assist in longitudinal studies of microstructural tissue alteration in aging, injury, or disease in a living rodent brain.
(© 2022. The Author(s).)
Databáze: MEDLINE
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