Ramborger Jarryd, Kalra Sumay, Smith Alexander C W, George Olivier
Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA.
Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29412, USA.
bioRxiv. 2023 Dec 4:2023.11.13.566747. doi: 10.1101/2023.11.13.566747.
The development of Raspberry Pi-based recording devices for video analyses of drug self-administration studies has 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.
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 the throughput capabilities, video fidelity, synchronicity of devices, and comparisons between the Raspberry Pi 3B+ and 4B models.
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 at a fraction of current commercial costs. No consequential differences were found between Raspberry Pi 3B+ and 4B models.
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.
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 with high turnover in a variety of species and settings.
基于树莓派的记录设备用于药物自我给药研究的视频分析，在可承受性、可定制性以及提取深入行为模式的能力方面已显示出前景。然而，大多数视频记录系统限于少数几个摄像头，使其与大规模研究不兼容。
我们通过扩大规模、修改代码以及添加设备来扩展PiRATeMC（基于树莓派的运动捕捉远程采集技术）记录系统，以适应大规模视频采集，并附带关于吞吐量能力、视频保真度、设备同步性的数据，以及树莓派3B+和4B型号之间的比较。
使用PiRATeMC默认记录参数可实现最小存储量（约350MB/小时）、高吞吐量（<约120秒/树莓派）、高视频保真度以及约0.02秒内的同步性，能够以当前商业成本的一小部分同时在个体自我给药实验箱中记录60只动物。在树莓派3B+和4B型号之间未发现显著差异。
该系统相比其他视频记录系统能够同时采集数量级更多的视频数据，存储需求更少且成本更低。此外，我们报告了对吞吐量、保真度和同步性的深入定量评估，展示了实时系统能力。
所展示的系统能够由一名技术人员在一个月内完全安装完成，并提供一种可扩展、低成本且质量有保证的程序，在记录设备之间具有高度的定制性和同步性，能够在各种物种和环境中以高周转率记录大量受试者。
