High quality, high throughput, and low-cost simultaneous video recording of 60 animals in operant chambers using PiRATeMC.

Autor: Ramborger J; Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA., Kalra S; Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA., Mosquera J; Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA., Smith ACW; Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29412, USA., George O; Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: olgeorge@health.ucsd.edu.
Jazyk: angličtina
Zdroj: Journal of neuroscience methods [J Neurosci Methods] 2024 Nov; Vol. 411, pp. 110270. Date of Electronic Publication: 2024 Aug 31.
DOI: 10.1016/j.jneumeth.2024.110270
Abstrakt: Background: The development of Raspberry Pi-based recording devices for video analyses of drug self-administration studies has been shown to be promising in terms of affordability, customizability, and capacity to extract in-depth behavioral patterns. Yet, most video recording systems are limited to a few cameras making them incompatible with large-scale studies.
New Method: We expanded the PiRATeMC (Pi-based Remote Acquisition Technology for Motion Capture) recording system by increasing its scale, modifying its code, and adding equipment to accommodate large-scale video acquisition, accompanied by data on throughput capabilities, video fidelity, synchronicity of devices, and comparisons between Raspberry Pi 3B+ and 4B models.
Results: Using PiRATeMC default recording parameters resulted in minimal storage (∼350MB/h), high throughput (< ∼120 seconds/Pi), high video fidelity, and synchronicity within ∼0.02 seconds, affording the ability to simultaneously record 60 animals in individual self-administration chambers for various session lengths at a fraction of commercial costs. No consequential differences were found between Raspberry Pi models.
Comparison With Existing Method(s): This system allows greater acquisition of video data simultaneously than other video recording systems by an order of magnitude with less storage needs and lower costs. Additionally, we report in-depth quantitative assessments of throughput, fidelity, and synchronicity, displaying real-time system capabilities.
Conclusions: The system presented is able to be fully installed in a month's time by a single technician and provides a scalable, low cost, and quality-assured procedure with a high-degree of customization and synchronicity between recording devices, capable of recording a large number of subjects and timeframes with high turnover in a variety of species and settings.
Competing Interests: Declaration of Competing Interest None
(Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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