The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas
Author(s) -
Quanxin Wang,
SongLin Ding,
Yang Li,
Josh Royall,
David Feng,
Phil Lesnar,
Nile Graddis,
Maitham Naeemi,
Benjamin A.C. Facer,
Anh Ho,
Tim Dolbeare,
Brandon Blanchard,
Nick Dee,
Wayne Wakeman,
Karla E. Hirokawa,
Aaron Szafer,
Susan M. Sunkin,
Seung Wook Oh,
Amy Bernard,
John W. Phillips,
Michael Hawrylycz,
Christof Koch,
Hongkui Zeng,
Julie A. Harris,
Lydia Ng
Publication year - 2020
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2020.04.007
Subject(s) - biology , atlas (anatomy) , computational biology , brain atlas , evolutionary biology , neuroscience , anatomy
Recent large-scale collaborations are generating major surveys of cell types and connections in the mouse brain, collecting large amounts of data across modalities, spatial scales, and brain areas. Successful integration of these data requires a standard 3D reference atlas. Here, we present the Allen Mouse Brain Common Coordinate Framework (CCFv3) as such a resource. We constructed an average template brain at 10 μm voxel resolution by interpolating high resolution in-plane serial two-photon tomography images with 100 μm z-sampling from 1,675 young adult C57BL/6J mice. Then, using multimodal reference data, we parcellated the entire brain directly in 3D, labeling every voxel with a brain structure spanning 43 isocortical areas and their layers, 329 subcortical gray matter structures, 81 fiber tracts, and 8 ventricular structures. CCFv3 can be used to analyze, visualize, and integrate multimodal and multiscale datasets in 3D and is openly accessible (https://atlas.brain-map.org/).
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