Sheng, Weihao and Zhao, Xueyang and Huang, Xinrui and Yang, Yang (2022) Real-Time Image Processing Toolbox for All-Optical Closed-Loop Control of Neuronal Activities. Frontiers in Cellular Neuroscience, 16. ISSN 1662-5102
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Abstract
The development of in vivo 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.
Item Type: | Article |
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Subjects: | Library Keep > Medical Science |
Depositing User: | Unnamed user with email support@librarykeep.com |
Date Deposited: | 31 Mar 2023 07:57 |
Last Modified: | 06 Mar 2024 04:27 |
URI: | http://archive.jibiology.com/id/eprint/413 |