RT Journal Article
SR Electronic
T1 A multimodal computational pipeline for 3D histology of the human brain
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.02.10.941948
DO 10.1101/2020.02.10.941948
A1 Matteo Mancini
A1 Adrià Casamitjana
A1 Loic Peter
A1 Eleanor Robinson
A1 Shauna Crampsie
A1 David L. Thomas
A1 Janice L. Holton
A1 Zane Jaunmuktane
A1 Juan Eugenio Iglesias
YR 2020
UL http://biorxiv.org/content/early/2020/02/11/2020.02.10.941948.abstract
AB Ex vivo imaging enables analysis of the human brain at a level of detail that is not possible in vivo with MRI. In particular, histology can be used to study brain tissue at the microscopic level, using a wide array of different stains that highlight different microanatomical features. Complementing MRI with histology has important applications in ex vivo atlas building and in modeling the link between microstructure and macroscopic MR signal. However, histology requires sectioning tissue, hence distorting its 3D structure, particularly in larger human samples. Here, we present an open-source computational pipeline to produce 3D consistent histology reconstructions of the human brain. The pipeline relies on a volumetric MRI scan that serves as undistorted reference, and on an intermediate imaging modality (blockface photography) that bridges the gap between MRI and histology. We present results on 3D histology reconstruction of a whole human hemisphere.