地图集(解剖学)
脑图谱
细胞结构
计算机科学
连接体
可视化
人工智能
神经信息学
计算机视觉
地图学
计算机图形学(图像)
神经科学
解剖
生物
地理
数据科学
功能连接
作者
Zhao Feng,Xiangning Li,Yue Luo,Xin Liu,Ben Long,Tao Jiang,Xueyan Jia,Xiaowei Chen,Jie Luo,Xiaokang Chai,Zhen Wang,Miao Ren,Xin Lu,Gang Yao,Mengting Zhao,Yuxin Li,Zhixiang Liu,Hong Ni,C. Dou,Shengda Bao
出处
期刊:Nature
[Nature Portfolio]
日期:2025-07-02
标识
DOI:10.1038/s41586-025-09211-8
摘要
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 level 1–4 . However, such atlases are unavailable 5 . 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.
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