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

被引:2
作者
Benedict, Jessie [1 ]
Cudmore, Robert H. [2 ]
机构
[1] Johns Hopkins Univ, Solomon H Snyder Dept Neurosci, Sch Med, Baltimore, MD USA
[2] Univ Calif Davis, Sch Med, Dept Physiol & Membrane Biol, Davis, CA 95616 USA
基金
美国国家卫生研究院;
关键词
behavioiral neuroscience; open source; Raspberry; Pi; video analysis; home cage activity monitoring; MATERNAL-BEHAVIOR; LABORATORY MICE; PUP CARE; NEURONS; PATTERNS; DISPLAY;
D O I
10.3389/fnins.2023.1222644
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
[21]   A Requirements-Based Analysis of Success in Open-Source Software Development Projects [J].
Vlas, Radu ;
Vlas, Cristina .
AMCIS 2011 PROCEEDINGS, 2011,
[22]   DARTS: an open-source Python']Python pipeline for Ca2+ microdomain analysis in live cell imaging data [J].
Woelk, Lena-Marie ;
Kovacevic, Dejan ;
Husseini, Huemeyra ;
Foerster, Fritz ;
Gerlach, Fynn ;
Moeckl, Franziska ;
Altfeld, Marcus ;
Guse, Andreas H. ;
Diercks, Bjoern-Philipp ;
Werner, Rene .
FRONTIERS IN IMMUNOLOGY, 2024, 14
[23]   Open-Source MQTT Evaluation [J].
Bender, Melvin ;
Kirdan, Erkin ;
Pahl, Marc-Oliver ;
Carle, Georg .
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2021,
[24]   An Open-Source Husbandry Repository [J].
LaCoursiere, Christopher Mark ;
Ullmann, Jeremy F. P. ;
Poduri, Annapurna .
ZEBRAFISH, 2018, 15 (06) :656-658
[25]   Open process and open-source enterprise systems [J].
Lee, Sang M. ;
Olson, D. L. ;
Lee, Sang-Heui .
ENTERPRISE INFORMATION SYSTEMS, 2009, 3 (02) :201-209
[26]   GIP: an open-source computational pipeline for mapping genomic instability from protists to cancer cells [J].
Spath, Gerald F. ;
Bussotti, Giovanni .
NUCLEIC ACIDS RESEARCH, 2022, 50 (06) :E36
[27]   Visiomode: An open-source platform for building rodent touchscreen-based behavioral assays [J].
Eleftheriou, Constantinos ;
Clarke, Thomas ;
Poon, V. ;
Zechner, Marie ;
Duguid, Ian .
JOURNAL OF NEUROSCIENCE METHODS, 2023, 386
[28]   Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects [J].
Gruner, Bernd ;
Heckner, Sebastian Thomas ;
Sonnekalb, Tim ;
Bouhlal, Badr-Eddine ;
Brust, Clemens-Alexander .
2024 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING-COMPANION, SANER-C 2024, 2024, :141-145
[29]   Open-source software projects for advancing the power systems analysis [J].
Montenegro, D. ;
Dugan, R. ;
Taylor, J. ;
McGranaghan, M. .
2022 OPEN SOURCE MODELLING AND SIMULATION OF ENERGY SYSTEM (OSMSES), 2022,
[30]   OVAS: an open-source variant analysis suite with inheritance modelling [J].
Mozere, Monika ;
Tekman, Mehmet ;
Kari, Jameela ;
Bockenhauer, Detlef ;
Kleta, Robert ;
Stanescu, Horia .
BMC BIOINFORMATICS, 2018, 19