Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics.

Autor: Shang CF; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou, China.; Shenzhen Institute of Neuroscience, Shenzhen, China., Wang YF; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China., Zhao MT; Institute of Automation, Chinese Academy of Sciences, Beijing, China.; Guangdong Institute of Artificial Intelligence and Advanced Computing, Guangzhou, China., Fan QX; Institute of Automation, Chinese Academy of Sciences, Beijing, China.; Guangdong Institute of Artificial Intelligence and Advanced Computing, Guangzhou, China., Zhao S; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China., Qian Y; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China., Xu SJ; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China., Mu Y; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. my@ion.ac.cn.; University of Chinese Academy of Sciences, Beijing, China. my@ion.ac.cn., Hao J; University of Chinese Academy of Sciences, Beijing, China. jie.hao@ia.ac.cn.; Institute of Automation, Chinese Academy of Sciences, Beijing, China. jie.hao@ia.ac.cn.; Guangdong Institute of Artificial Intelligence and Advanced Computing, Guangzhou, China. jie.hao@ia.ac.cn., Du JL; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. forestdu@ion.ac.cn.; University of Chinese Academy of Sciences, Beijing, China. forestdu@ion.ac.cn.; School of Life Science and Technology, ShanghaiTech University, Shanghai, China. forestdu@ion.ac.cn.
Jazyk: angličtina
Zdroj: Nature neuroscience [Nat Neurosci] 2024 May; Vol. 27 (5), pp. 1014-1018. Date of Electronic Publication: 2024 Mar 11.
DOI: 10.1038/s41593-024-01595-6
Abstrakt: Large-scale imaging of neuronal activities is crucial for understanding brain functions. However, it is challenging to analyze large-scale imaging data in real time, preventing closed-loop investigation of neural circuitry. Here we develop a real-time analysis system with a field programmable gate array-graphics processing unit design for an up to 500-megabyte-per-second image stream. Adapted to whole-brain imaging of awake larval zebrafish, the system timely extracts activity from up to 100,000 neurons and enables closed-loop perturbations of neural dynamics.
(© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Databáze: MEDLINE
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