华中科技大学骆清铭团队揭示了具有各向同性1-μm分辨率的小鼠脑立体定向地形图。2025年7月2日出版的《自然》发表了这项成果。

在这里，研究组展示了一个基于Nissl的全脑细胞结构数据集，该数据集具有各向同性的1-μm分辨率，通过连续微光学切片断层扫描获得。通过整合多模态图像，研究组构建了无主题脑的三维参考图谱，提供了916个结构的三维地形，并实现了1 μm分辨率的任意角度切片图像生成。该课题组开发了一个基于信息学的图谱图像可视化和共享平台，提供脑切片配准、神经回路映射和智能立体定向手术计划等服务。该地图集可与广泛主题的立体定位地图集互操作，支持二维对应冠状面的跨地图集导航和三维地图集空间的空间映射。通过促进大型大脑图谱项目的数据分析和可视化，他们的图谱有望成为在单细胞水平上研究整个大脑的多功能脑信息学工具。

据了解，以连接组和空间转录组为代表的多组学研究已经进入单细胞分辨率时代，需要具有单细胞水平空间定位能力的参考脑图谱。然而，这样的地图集是不可用的。

附：英文原文

Title: A mouse brain stereotaxic topographic atlas with isotropic 1-μm resolution

Author: Feng, Zhao, Li, Xiangning, Luo, Yue, Liu, Xin, Long, Ben, Jiang, Tao, Jia, Xueyan, Chen, Xiaowei, Luo, Jie, Chai, Xiaokang, Wang, Zhen, Ren, Miao, Lu, Xin, Yao, Gang, Zhao, Mengting, Li, Yuxin, Liu, Zhixiang, Ni, Hong, Dou, Chuhao, Bao, Shengda, Yang, Shicheng, Zhang, Zoutao, Zhou, Jiandong, Cai, Lingyi, Zhang, Qi, Tudi, Ayizuohere, Tan, Chaozhen, Xu, Zhengchao, Chen, Siqi, Ding, Wenxiang, Shi, Wenjuan, Li, Anan, Dong, Hong-wei, Gong, Hui, Luo, Qingming

Issue&Volume: 2025-07-02

Abstract: Multi-omics studies, represented by connectomes and spatial transcriptomes, have entered the era of single-cell resolution, necessitating a reference brain atlas with spatial localization capability at the single-cell level1,2,3,4. However, such atlases are unavailable5. Here we present a whole mouse brain dataset of Nissl-based cytoarchitecture with isotropic 1-μm resolution, achieved through continuous micro-optical sectioning tomography. By integrating multi-modal images, we constructed a three-dimensional reference atlas of the mouse brain, providing the three-dimensional topographies of 916 structures and enabling arbitrary-angle slice image generation at 1-μm resolution. We developed an informatics-based platform for visualizing and sharing of the atlas images, offering services such as brain slice registration, neuronal circuit mapping and intelligent stereotaxic surgery planning. This atlas is interoperable with widely used stereotaxic atlases, supporting cross-atlas navigation of corresponding coronal planes in two dimensions and spatial mapping across atlas spaces in three dimensions. By facilitating the data analysis and visualization for large brain mapping projects, our atlas promises to be a versatile brainsmatics tool for studying the whole brain at single-cell level.

DOI: 10.1038/s41586-025-09211-8

Source: https://www.nature.com/articles/s41586-025-09211-8