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ActualTrack

ActualTrack - ActualTrack

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Actual Track

ActualTrack™ is an easy-to-use, affordable tool for automatically tracking the movement of lab animals on video. It is designed for use straight out of the box with rodents, drosophila, and zebrafish.

ActualTrack™ provides accurate, consistent results with detailed locomotor and zonal statistical output available in both Microsoft Excel™ and .csv formats.

The software is designed for common behavioural paradigms, including: Water Maze, Plus Maze, Open Field, Novel Object, and X/Y/O Maze with easily defined zone entry and exit criteria.

Simple Configuration for Three Point or Centre Tracking

ActualTrack™ provides accurate locomotor and zonal statistics with easy setup and flexible zone selection. It supports multiple trials in the same video; these can be viewed side by side and/or one after another.

Playback of Tracking Results as They are Generated

Experiments can be filmed in any common video format. Researchers can then use our easy-upload screens to line up any number of videos while the upload runs in the background.

Detailed Results in Microsoft Excel™ and .csv Formats

These results offer a detailed layout of all the trials in any one experiment, combined. It is possible to access detailed locomotor and zonal statistics, including: distances, times, zone entries and exits, velocities, and latencies in real-world SI units. In addition to this information the software also stores the raw data for further analysis. Results are integrated with configurable manual scoring that allows for the analysis of behaviour using a subject’s position, offering the most detailed analysis of lab animal behaviour available.


Publications:

· Green, E. W., O’Callaghan, E. K., Hansen, C. N., Bastianello, S., Bhutani, S., Vanin, S., … Kyriacou, C. P. (2015). Drosophila circadian rhythms in seminatural environments: Summer afternoon component is not an artifact and requires TrpA1 channels. Proceedings of the National Academy of Sciences,

· Green, E. W., O’Callaghan, E. K., Pegoraro, M., Armstrong, J. D., Costa, R., & Kyriacou, C. P. (2014). Genetic Analysis of Drosophila Circadian Behavior in Seminatural Conditions. In Methods in Enzymology,551:121-33

· Iqbal, Z., Vandeweyer, G., van der Voet, M., Waryah, A. M., Besseling, J. A., et al. (2013). Homozygous and heterozygous disruptions of ANK3: at the crossroads of neurodevelopmental and psychiatric disorders. Hum. Mol. Genet., 22(10), 1960-1970.

· Vandewalle, J., Langen, M., Zschätzsch, M., Nijhof, B., Kramer, J.M., et al. (2013). Ubiquitin Ligase HUWE1 Regulates Axon Branching through the Wnt/β-Catenin Pathway in a Drosophila Model for Intellectual Disability. PLoS ONE, 8(11),

· Koolen, D. A., Kramer, J. M., Neveling, K., Nillesen, W. M., Moore-Barton H. L., et al. (2012). Mutations in the chromatin modifier gene KANSL1 cause the 17q21.31 microdeletion syndrome. Nature Genetics, 44, 639–641.

· T.C. Lukins, J.M. Young, R.R. Sillito, and J.D. Armstrong. Fly, Camera, Action! Techniques to Improve the Video Capture and Storage for Automated Analysis of Drosophila Behavior Experiments. Under Review. 2010.

· J.A. Heward, M.A. Dewar, E.C. Wright, and J.D. Armstrong. Who watches the behavior experts? Under Review. 2010.

· R.R. Sillito, T.C. Lukins, and J.D. Armstrong. Improved rodent contour extraction using a priori shape information. In Workshop on the Visual Observation and Analysis of Animal and Insect Behavior (held at ICPR'10), Istanbul, Turkey, 2010.

· M.A. Dewar, T.C. Lukins, J.A. Heward, and J.D. Armstrong. Classification of animal behaviour using dynamic models of movement. In Workshop on Stochastic Models of Behaviour (held at NIPS'08), Whistler, Canada, 2008.

· T.C. Lukins, M.A. Dewar, J.A. Heward, and J.D. Armstrong. Extracting drosophila courtship behaviour statistics from video. In Workshop on the Visual Observation and Analysis of Animal and Insect Behavior (held at ICPR'08), Tampa, USA, 2008.

· P.A. Crook, T. C. Lukins, J.A. Heward, and J.D. Armstrong. Identifying semi-invariant features on mouse contours. In Proceedings of the British Machine Vision Conference, Leeds, UK, 2008.

· T.C. Lukins, M.A. Dewar, P.A. Crook, J.A. Heward, A.B. Hawcock, and J.D. Armstrong. Automatically determining active investigation in rodents using contour analysis. In Proceedings of the 6th Measuring Behaviour Conference, Wageningen, NL, 2008.

· J.A. Heward, P.A. Crook, T.C. Lukins, and J.D. Armstrong. iBehave - application of supervised machine learning to behaviour analysis. In Proceedings of the 6th Measuring Behaviour Conference, Wageningen, NL, 2008.

· J.D. Armstrong, D.A. Baker, J.A. Heward, and T.C. Lukins. Sex, flies and no videotape. In Proceedings of the 5th Measuring Behavior Conference, Wageningen, NL, 2005

· J.A. Heward, D.A. Baker, T.C. Lukins, and J.D. Armstrong. flyTracker: real-time analysis of insect courtship. In Proceedings of the 5th Measuring Behavior Conference, Wageningen, NL, 2005