Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring

Summary: Frequent monitoring of laboratory animals is critical for ensuring animal welfare and experimental data collection. To minimize the adverse and confounding effects caused by current monitoring protocols and human presence, we developed a low-cost, non-invasive, remotely accessible, extensib...

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Main Authors: Alan David Marcus, Satyanarayana Achanta, Sven-Eric Jordt
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722002064
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author Alan David Marcus
Satyanarayana Achanta
Sven-Eric Jordt
author_facet Alan David Marcus
Satyanarayana Achanta
Sven-Eric Jordt
author_sort Alan David Marcus
collection DOAJ
description Summary: Frequent monitoring of laboratory animals is critical for ensuring animal welfare and experimental data collection. To minimize the adverse and confounding effects caused by current monitoring protocols and human presence, we developed a low-cost, non-invasive, remotely accessible, extensible infrared video monitoring system. This protocol describes the construction and operation of the system, followed by applying deep-learning neural networks to track group-housed, unmarked mice for objective behavioral quantification. This system can be adapted to a variety of home-cage environments and species.
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spelling doaj.art-e25db58118944952ac49dbec09fa12142022-12-22T02:03:45ZengElsevierSTAR Protocols2666-16672022-06-0132101326Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoringAlan David Marcus0Satyanarayana Achanta1Sven-Eric Jordt2Department of Anesthesiology, Duke University School of Medicine, Durham, NC 27710, USA; Corresponding authorDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC 27710, USADepartment of Anesthesiology, Duke University School of Medicine, Durham, NC 27710, USA; Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA; Integrated Toxicology & Environmental Health Program, Duke University, Durham, NC 27710, USASummary: Frequent monitoring of laboratory animals is critical for ensuring animal welfare and experimental data collection. To minimize the adverse and confounding effects caused by current monitoring protocols and human presence, we developed a low-cost, non-invasive, remotely accessible, extensible infrared video monitoring system. This protocol describes the construction and operation of the system, followed by applying deep-learning neural networks to track group-housed, unmarked mice for objective behavioral quantification. This system can be adapted to a variety of home-cage environments and species.http://www.sciencedirect.com/science/article/pii/S2666166722002064Model OrganismsNeuroscienceBehaviorComputer sciences
spellingShingle Alan David Marcus
Satyanarayana Achanta
Sven-Eric Jordt
Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring
STAR Protocols
Model Organisms
Neuroscience
Behavior
Computer sciences
title Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring
title_full Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring
title_fullStr Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring
title_full_unstemmed Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring
title_short Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring
title_sort protocol for non invasive assessment of spontaneous movements of group housed animals using remote video monitoring
topic Model Organisms
Neuroscience
Behavior
Computer sciences
url http://www.sciencedirect.com/science/article/pii/S2666166722002064
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