Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

We present open-source tools for three-dimensional (3D) analysis of photographs of dissected slices of human brains, which are routinely acquired in brain banks but seldom used for quantitative analysis. Our tools can: (1) 3D reconstruct a volume from the photographs and, optionally, a surface scan;...

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Bibliographic Details
Main Authors: Harshvardhan Gazula, Henry FJ Tregidgo, Benjamin Billot, Yael Balbastre, Jonathan Williams-Ramirez, Rogeny Herisse, Lucas J Deden-Binder, Adria Casamitjana, Erica J Melief, Caitlin S Latimer, Mitchell D Kilgore, Mark Montine, Eleanor Robinson, Emily Blackburn, Michael S Marshall, Theresa R Connors, Derek H Oakley, Matthew P Frosch, Sean I Young, Koen Van Leemput, Adrian V Dalca, Bruce Fischl, Christine L MacDonald, C Dirk Keene, Bradley T Hyman, Juan E Iglesias
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2024-06-01
Series:eLife
Subjects:
dissection photography
machine learning
surface scanning
volumetry
Online Access:https://elifesciences.org/articles/91398

Internet

https://elifesciences.org/articles/91398

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