Jiang Shengdian, Zhao Sujun, Li Yingxin, Yun Zhixi, Zhang Lingli, Liu Yufeng, Peng Hanchuan
New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China.
Sci Data. 2025 Apr 23;12(1):683. doi: 10.1038/s41597-025-04379-0.
Neuron morphology and sub-neuronal patterns offer vital insights into cell typing and the structural organization of brain networks. The community-collaborative BRAIN Initiative Cell Census Network (BICCN) project has yielded a vast amount of whole-brain imaging data. However, reconstructing multi-scale neuron morphometry at a whole-brain scale requires not only the integration of diverse hardware devices, tools, and algorithms but also a dedicated production workflow. To address these challenges, we developed a cloud-based, collaborative platform capable of handling peta-scale imaging data. Using this platform, we generated the largest multi-scale morphometry dataset from hundreds of sparsely labeled mouse brains. The morphometry dataset comprises 182,497 annotated cell bodies, 15,441 locally traced morphologies, and 1,876 fully reconstructed morphologies. We also identified sub-neuronal arborizations for both axons and dendrites, along with the primary axonal tracts connecting them. In addition, we identified 2.63 million putative boutons. All morphometric data were registered to the Allen Common Coordinate Framework (CCF) atlas. The morphometry dataset has proven to be an invaluable resource for whole-brain cross-scale morphological studies in mouse.
神经元形态和亚神经元模式为细胞类型和脑网络的结构组织提供了至关重要的见解。社区合作的“大脑计划细胞普查网络”（BICCN）项目已经产生了大量的全脑成像数据。然而，在全脑尺度上重建多尺度神经元形态测量不仅需要整合各种硬件设备、工具和算法，还需要专门的生产工作流程。为了应对这些挑战，我们开发了一个基于云的协作平台，能够处理千万亿字节规模的成像数据。利用这个平台，我们从数百个稀疏标记的小鼠大脑中生成了最大的多尺度形态测量数据集。该形态测量数据集包括182,497个带注释的细胞体、15,441个局部追踪的形态以及1,876个完全重建的形态。我们还确定了轴突和树突的亚神经元分支，以及连接它们的主要轴突束。此外，我们还确定了263万个假定的突触小体。所有形态测量数据都已注册到艾伦通用坐标框架（CCF）图谱中。事实证明，该形态测量数据集是小鼠全脑跨尺度形态学研究的宝贵资源。
