Nature Communications (Aug 2019)
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,
- Hanchuan Peng
Affiliations
- Yimin Wang
- Southeast University – Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University
- Qi Li
- School of Computer Engineering and Science, Shanghai University
- Lijuan Liu
- Southeast University – Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University
- Zhi Zhou
- Southeast University – Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University
- Zongcai Ruan
- Southeast University – Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University
- Lingsheng Kong
- School of Computer Engineering and Science, Shanghai University
- Yaoyao Li
- School of Optometry and Ophthalmology, Wenzhou Medical University
- Yun Wang
- Allen Institute for Brain Science
- Ning Zhong
- Beijing University of Technology
- Renjie Chai
- Institute of Life Sciences, Southeast University
- Xiangfeng Luo
- School of Computer Engineering and Science, Shanghai University
- Yike Guo
- Data Science Institute, Imperial College London
- Michael Hawrylycz
- Allen Institute for Brain Science
- Qingming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology
- Zhongze Gu
- School of Biological Science and Medical Engineering, Southeast University
- Wei Xie
- Institute of Life Sciences, Southeast University
- Hongkui Zeng
- Allen Institute for Brain Science
- Hanchuan Peng
- Southeast University – Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University
- DOI
- https://doi.org/10.1038/s41467-019-11443-y
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 9
Abstract
Reconstructing the full shape of neurons is a major informatics challenge as it requires handling huge whole-brain imaging datasets. Here the authors present an open-source virtual reality annotation system for precise and efficient data production of neuronal shapes reconstructed from whole brains.
