Sheng Weihao, Zhao Xueyang, Huang Xinrui, Yang Yang
School of Life Sciences and Technology, ShanghaiTech University, Shanghai, China.
Front Cell Neurosci. 2022 Jul 5;16:917713. doi: 10.3389/fncel.2022.917713. eCollection 2022.
The development of imaging and optogenetic tools makes it possible to control neural circuit activities in an all-optical, closed-loop manner, but such applications are limited by the lack of software for online analysis of neuronal imaging data. We developed an analysis software ORCA (Online Real-time activity and offline Cross-session Analysis), which performs image registration, neuron segmentation, and activity extraction at over 100 frames per second, fast enough to support real-time detection and readout of neural activity. Our active neuron detection algorithm is purely statistical, achieving a much higher speed than previous methods. We demonstrated closed-loop control of neurons that were identified on the fly, without prior recording or image processing. ORCA also includes a cross-session alignment module that efficiently tracks neurons across multiple sessions. In summary, ORCA is a powerful toolbox for fast imaging data analysis and provides a solution for all-optical closed-loop control of neuronal activity.
成像和光遗传学工具的发展使得以全光学、闭环方式控制神经回路活动成为可能，但此类应用因缺乏用于在线分析神经元成像数据的软件而受到限制。我们开发了一种分析软件ORCA（在线实时活动和离线跨会话分析），它能以每秒100多帧的速度执行图像配准、神经元分割和活动提取，速度足以支持神经活动的实时检测和读出。我们的活跃神经元检测算法完全基于统计，比以前的方法速度快得多。我们展示了对即时识别的神经元进行闭环控制，无需事先记录或图像处理。ORCA还包括一个跨会话对齐模块，可有效跟踪多个会话中的神经元。总之，ORCA是一个用于快速成像数据分析的强大工具箱，并为神经元活动的全光学闭环控制提供了一种解决方案。
