A multimodal computational pipeline for 3D histology of the human brain

Author:

Mancini Matteo,Casamitjana Adrià,Peter Loic,Robinson Eleanor,Crampsie Shauna,Thomas David L.,Holton Janice L.,Jaunmuktane Zane,Iglesias Juan Eugenio

Abstract

AbstractEx 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 whole human hemispheres from two donors.

Funder

Wellcome Trust

UCL Leonard Wolfson Experimental Neurology Centre

Multiple System Atrophy Trust

Multiple System Atrophy Coalition

Fund Sophia

Karin

European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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