The EthoVision video tracking system—A tool for behavioral phenotyping of transgenic mice

Spink, Andrew; Tegelenbosch, Ruud A.J.; Buma, Marc; Noldus, L.P.J.J.

doi:10.1016/s0031-9384(01)00530-3

Cited by 236 publications

(172 citation statements)

References 64 publications

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“…The fact that bedding is textured and may be rearranged by the mice presents additional challenges for tracking and pose estimation. Most mouse trackers were developed for use in a novel arena with a bare solid-color floor, to facilitate the separation of the animal from background (4,5,7,43); this type of arena, however, can be stressful to animals, and may perturb their social behavior.…”

Section: Discussionmentioning

confidence: 99%

“…The study of social behaviors in model organisms requires accurate detection and quantification of such behaviors (1)(2)(3). Although automated systems for behavioral scoring in rodents are available (4)(5)(6)(7)(8), they are generally limited to single-animal assays, and their capabilities are restricted either to simple tracking or to specific behaviors that are measured using a dedicated apparatus (6-11) (e.g., elevated plus maze, light-dark box, etc.). By contrast, rodent social behaviors are typically scored manually.…”

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confidence: 99%

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Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Hong

Kennedy

Burgos-Artizzu

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

280

234

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A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new integrated hardware and software system that combines video tracking, depth sensing, and machine learning for automatic detection and quantification of social behaviors involving close and dynamic interactions between two mice of different coat colors in their home cage. We designed a hardware setup that integrates traditional video cameras with a depth camera, developed computer vision tools to extract the body "pose" of individual animals in a social context, and used a supervised learning algorithm to classify several well-described social behaviors. We validated the robustness of the automated classifiers in various experimental settings and used them to examine how genetic background, such as that of Black and Tan Brachyury (BTBR) mice (a previously reported autism model), influences social behavior. Our integrated approach allows for rapid, automated measurement of social behaviors across diverse experimental designs and also affords the ability to develop new, objective behavioral metrics.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Hong

Kennedy

Burgos-Artizzu

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

280

234

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“…Behavioral data were collected and analyzed by the 'EthoVision' (Noldus, The Netherlands) fully automated video tracking system (Spink et al, 2001). Briefly, a CCD video camera was used to record the experimental system.…”

Section: Locomotor Activitymentioning

confidence: 99%

Dopamine in the Medial Prefrontal Cortex Controls Genotype-Dependent Effects of Amphetamine on Mesoaccumbens Dopamine Release and Locomotion

Ventura

Alcaro

Cabib

et al. 2003

Neuropsychopharmacol

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Mice of background DBA/2J are hyporesponsive to the behavioral effects of D-amphetamine in comparison with the widely exploited murine background C57BL/6J. In view of the important role of dopamine (DA) release in the nucleus accumbens (NAc) regarding the behavioral effects of psychostimulants, we tested the hypothesis of an inverse relationship between mesocortical and mesoaccumbens DA functioning in the two backgrounds. Systemic D-amphetamine induces a sustained increase in DA release in the medial prefrontal cortex (mpFC) accompanied by a poor increase in the NAc in mice of the low-responsive DBA/2J background, as shown by intracerebral microdialysis in freely moving animals. The opposite occurs in C57BL/6J mice, which show low prefrontal cortical DA outflow accompanied by high accumbal extracellular DA. Moreover, the DBA/2J background showed lower locomotor activity than C57BL/6J mice following D-amphetamine challenge. Selective DA depletion in the mpFC of DBA/2J mice produced a clear-cut increase in D-amphetamine-induced DA outflow in the NAc as well as locomotor activity that reached levels similar to those observed in C57BL/6J mice. Finally, local infusion of D-amphetamine by reverse microdialysis produced a similar increase in extracellular DA in both the mpFC and the NAc of DBA/2J mice. This finding points to similar transporter-related mechanisms in the two brain areas and supports the hypothesis that low accumbal DA release induced by systemic D-amphetamine in the DBA/2J background is determined by the inhibitory action of prefrontal cortical DA. The present results indicate that genotype-dependent susceptibility to addictive properties of D-amphetamine involves unbalanced DA transmission in the mesocorticolimbic system.

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“…Etholog 36 , JWatcher 37 , Nolduss EthoVison 38 , Cybertracker & Animal Behavior 39 ) for effective and efficient insect monitoring such as 2– 8 . The most significant advantages are that it does not require any GPS and/or GIS systems, can be used on any Android based device without internet service, allows Subscriber Identity Module (SIM) card and external SD card to be used to manage the experiment’s data and enables estimates of solar positions and timings.…”

Section: Discussionmentioning

confidence: 99%

Ant-App-DB: a smart solution for monitoring arthropods activities, experimental data management and solar calculations without GPS in behavioral field studies

et al. 2015

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Field studies on arthropod ecology and behaviour require simple and robust monitoring tools, preferably with direct access to an integrated database. We have developed and here present a database tool allowing smart-phone based monitoring of arthropods. This smart phone application provides an easy solution to collect, manage and process the data in the field which has been a very difficult task for field biologists using traditional methods. To monitor our example species, the desert ant Cataglyphis fortis, we considered behavior, nest search runs, feeding habits and path segmentations including detailed information on solar position and Azimuth calculation, ant orientation and time of day. For this we established a user friendly database system integrating the Ant-App-DB with a smart phone and tablet application, combining experimental data manipulation with data management and providing solar position and timing estimations without any GPS or GIS system. Moreover, the new desktop application Dataplus allows efficient data extraction and conversion from smart phone application to personal computers, for further ecological data analysis and sharing. All features, software code and database as well as Dataplus application are made available completely free of charge and sufficiently generic to be easily adapted to other field monitoring studies on arthropods or other migratory organisms. The software applications Ant-App-DB and Dataplus described here are developed using the Android SDK, Java, XML, C# and SQLite Database.

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The EthoVision video tracking system—A tool for behavioral phenotyping of transgenic mice

Cited by 236 publications

References 64 publications

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

Dopamine in the Medial Prefrontal Cortex Controls Genotype-Dependent Effects of Amphetamine on Mesoaccumbens Dopamine Release and Locomotion

Ant-App-DB: a smart solution for monitoring arthropods activities, experimental data management and solar calculations without GPS in behavioral field studies

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