GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population-Reference-Cited by-同舟云学术

GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population

Published:2020-08-25 Issue:2 Volume:19 Page:305-317
ISSN:1539-2791
Container-title:Neuroinformatics
language:en
Short-container-title:Neuroinform

Author:

Zhou Hang,Li Shiwei,Li Anan,Huang Qing,Xiong Feng,Li Ning,Han Jiacheng,Kang Hongtao,Chen Yijun,Li Yun,Lin Huimin,Zhang Yu-Hui,Lv Xiaohua,Liu Xiuli,Gong Hui,Luo Qingming,Zeng Shaoqun,Quan Tingwei

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Science Fund for Creative Research Groups

Science Fund for Young and Middle-aged Creative Research Group of the Universities in Hubei Province

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s12021-020-09484-6.pdf

Reference47 articles.

1. Ascoli, G. A., Krichmar, J. L., Nasuto, S. J., & Senft, S. L. (2001). Generation, description and storage of dendritic morphology data. Philosophical Transactions of the Royal Society B, 356(1412), 1131–1145.

2. Bohland, J. W., Wu, C., Barbas, H., Bokil, H., Bota, M., Breiter, H. C., et al. (2009). A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale. PLOS Computational Biology, 5(3), e1000334.

3. Bria, A., Iannello, G., Onofri, L., & Peng, H. (2016). TeraFly: real-time three-dimensional visualization and annotation of terabytes of multidimensional volumetric images. Nature Methods, 13(3), 192–194.

4. Brown, K. M., Barrionuevo, G., Canty, A. J., De Paola, V., Hirsch, J. A., Jefferis, G. S., et al. (2011). The DIADEM data sets: representative light microscopy images of neuronal morphology to advance automation of digital reconstructions. Neuroinformatics, 9(2–3), 143–157. doi:https://doi.org/10.1007/s12021-010-9095-5.

5. Chung, K., & Deisseroth, K. (2013). CLARITY for mapping the nervous system. Nature Methods, 10(6), 508–513. doi:https://doi.org/10.1038/nmeth.2481.

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