Allen Institute for Brain Science, Seattle, WA 98109, USA.
Allen Institute for Brain Science, Seattle, WA 98109, USA.
Cell. 2020 May 14;181(4):936-953.e20. doi: 10.1016/j.cell.2020.04.007. Epub 2020 May 7.
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/).
最近的大规模合作正在对小鼠大脑中的细胞类型和连接进行主要调查,跨模态、空间尺度和脑区收集大量数据。成功整合这些数据需要一个标准的 3D 参考图谱。在这里,我们提出了 Allen 小鼠脑共同坐标框架(CCFv3)作为这样的资源。我们通过从 1675 只年轻的 C57BL/6J 小鼠中插值具有 100μm z 采样的高分辨率平面内双光子断层扫描图像,以 10μm 体素分辨率构建了一个平均模板大脑。然后,使用多模态参考数据,我们直接在 3D 中对整个大脑进行分区,为每个体素标记跨越 43 个皮质区域及其层、329 个皮质下灰质结构、81 个纤维束和 8 个脑室结构的脑结构。CCFv3 可用于在 3D 中分析、可视化和整合多模态和多尺度数据集,并可公开访问(https://atlas.brain-map.org/)。