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

Chun-Feng Shang, Yu-Fan Wang,Mei-Ting Zhao, Qiu-Xiang Fan, Shan Zhao,Yu Qian, Sheng-Jin Xu,Yu Mu, Jie Hao,Jiu-Lin Du

NATURE NEUROSCIENCE(2024)

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摘要
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. A real-time analysis system was developed for an up to 500-megabyte-per-second image stream. This system can extract activities from up to 100,000 neurons in larval zebrafish brains and enables closed-loop perturbations of brain-wide neural dynamics at cellular resolution.
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