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

Chun-Feng ShangYu-Fan WangMei-Ting ZhaoQiu-Xiang FanShan ZhaoYu QianSheng-Jin XuYu MuJie HaoJiu-Lin Du
Published in: Nature neuroscience (2024)
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.
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