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PiE:一种用于笼内行为分析的开源流程。

PiE: an open-source pipeline for home cage behavioral analysis.

作者信息

Benedict Jessie, Cudmore Robert H

机构信息

The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Department of Physiology and Membrane Biology, University of California-Davis School of Medicine, Davis, CA, United States.

出版信息

Front Neurosci. 2023 Jul 31;17:1222644. doi: 10.3389/fnins.2023.1222644. eCollection 2023.

Abstract

Over the last two decades a growing number of neuroscience labs are conducting behavioral assays in rodents. The equipment used to collect this behavioral data must effectively limit environmental and experimenter disruptions, to avoid confounding behavior data. Proprietary behavior boxes are expensive, offer limited compatible sensors, and constrain analysis with closed-source hardware and software. Here, we introduce PiE, an open-source, end-to-end, user-configurable, scalable, and inexpensive behavior assay system. The PiE system includes the custom-built behavior box to hold a home cage, as well as software enabling continuous video recording and individual behavior box environmental control. To limit experimental disruptions, the PiE system allows the control and monitoring of all aspects of a behavioral experiment using a remote web browser, including real-time video feeds. To allow experiments to scale up, the PiE system provides a web interface where any number of boxes can be controlled, and video data easily synchronized to a remote location. For the scoring of behavior video data, the PiE system includes a standalone desktop application that streamlines the blinded manual scoring of large datasets with a focus on quality control and assay flexibility. The PiE system is ideal for all types of behavior assays in which video is recorded. Users are free to use individual components of this setup independently, or to use the entire pipeline from data collection to analysis. Alpha testers have included scientists without prior coding experience. An example pipeline is demonstrated with the PiE system enabling the user to record home cage maternal behavior assays, synchronize the resulting data, conduct blinded scoring, and import the data into R for data visualization and analysis.

摘要

在过去二十年中,越来越多的神经科学实验室在啮齿动物身上进行行为测定。用于收集此类行为数据的设备必须有效减少环境和实验者的干扰,以避免行为数据混淆。专有的行为箱价格昂贵,兼容的传感器有限,并且封闭源硬件和软件限制了分析。在此,我们介绍PiE,一种开源、端到端、用户可配置、可扩展且廉价的行为测定系统。PiE系统包括定制的行为箱,用于放置饲养笼,以及能够进行连续视频记录和对单个行为箱环境进行控制的软件。为了减少实验干扰,PiE系统允许使用远程网络浏览器控制和监测行为实验的各个方面,包括实时视频流。为了使实验能够扩大规模,PiE系统提供了一个网络界面,可以控制任意数量的箱子,并轻松将视频数据同步到远程位置。对于行为视频数据的评分,PiE系统包括一个独立的桌面应用程序,该程序简化了对大型数据集的盲法人工评分,重点是质量控制和测定灵活性。PiE系统适用于所有记录视频的行为测定类型。用户可以自由独立使用此设置的各个组件,也可以使用从数据收集到分析的整个流程。Alpha测试人员包括没有编码经验的科学家。通过PiE系统展示了一个示例流程,使用户能够记录饲养笼中的母性行为测定,同步所得数据,进行盲法评分,并将数据导入R进行数据可视化和分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/971d/10423934/4ae7b646827b/fnins-17-1222644-g001.jpg

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