Data_Sheet_1_Real-Time Image Processing Toolbox for All-Optical Closed-Loop Control of Neuronal Activities.pdf

• Main Authors: Weihao Sheng, Xueyang Zhao, Xinrui Huang, Yang Yang
• Format: Dataset
• Language: unknown
• Published: 2022
• Subjects: Cell Biology; Neuroscience; Cellular Nervous System; Central Nervous System; Cellular Interactions (incl. Adhesion; Matrix; Cell Wall); Protein Trafficking; calcium imaging; closed-loop optogenetic stimulation; image registration; neuron segmentation; fast image processing; image alignment; Orca
• Online Access: https://doi.org/10.3389/fncel.2022.917713.s001; https://figshare.com/articles/dataset/Data_Sheet_1_Real-Time_Image_Processing_Toolbox_for_All-Optical_Closed-Loop_Control_of_Neuronal_Activities_pdf/20225253

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.