TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain

Yimin Wang (), Qi Li, Lijuan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai, Xiangfeng Luo, Yike Guo, Michael Hawrylycz, Qingming Luo, Zhongze Gu, Wei Xie, Hongkui Zeng and Hanchuan Peng ()
Additional contact information
Yimin Wang: Southeast University
Qi Li: Shanghai University
Lijuan Liu: Southeast University
Zhi Zhou: Southeast University
Zongcai Ruan: Southeast University
Lingsheng Kong: Shanghai University
Yaoyao Li: Wenzhou Medical University
Yun Wang: Allen Institute for Brain Science
Ning Zhong: Beijing University of Technology
Renjie Chai: Southeast University
Xiangfeng Luo: Shanghai University
Yike Guo: Imperial College London
Michael Hawrylycz: Allen Institute for Brain Science
Qingming Luo: Huazhong University of Science and Technology
Zhongze Gu: Southeast University
Wei Xie: Southeast University
Hongkui Zeng: Allen Institute for Brain Science
Hanchuan Peng: Southeast University

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neuron’s complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection. Whole-brain reconstruction of neuron morphology is even more challenging as it involves processing tens of teravoxels of imaging data. Validating such reconstructions is extremely laborious. We develop TeraVR, an open-source virtual reality annotation system, to address these challenges. TeraVR integrates immersive and collaborative 3-D visualization, interaction, and hierarchical streaming of teravoxel-scale images. Using TeraVR, we have produced precise 3-D full morphology of long-projecting neurons in whole mouse brains and developed a collaborative workflow for highly accurate neuronal reconstruction.

Date: 2019
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DOI: 10.1038/s41467-019-11443-y

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