Suppr超能文献

用于神经元活动全光闭环控制的实时图像处理工具箱。

Real-Time Image Processing Toolbox for All-Optical Closed-Loop Control of Neuronal Activities.

作者信息

Sheng Weihao, Zhao Xueyang, Huang Xinrui, Yang Yang

机构信息

School of Life Sciences and Technology, ShanghaiTech University, Shanghai, China.

出版信息

Front Cell Neurosci. 2022 Jul 5;16:917713. doi: 10.3389/fncel.2022.917713. eCollection 2022.

Abstract

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.

摘要

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。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验