Motion analytics of zebrafish using fine motor kinematics and multi-view trajectory
| العنوان: | Motion analytics of zebrafish using fine motor kinematics and multi-view trajectory |
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| المؤلفون: | Soh Guat Ong, Amit Satpathy, Wei Cheng, Jean-Marc Burgunder, Walter Hunziker, Ee Sin Ng, Jing Tian |
| المصدر: | Multimedia Systems. 22:713-723 |
| بيانات النشر: | Springer Science and Business Media LLC, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | 0301 basic medicine, biology, Computer Networks and Communications, business.industry, Computer science, Feature extraction, Kinematics, Muscle disorder, biology.organism_classification, Frame rate, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Discriminative model, Hardware and Architecture, Analytics, Media Technology, Trajectory, Computer vision, Artificial intelligence, business, Zebrafish, 030217 neurology & neurosurgery, Software, Information Systems |
| الوصف: | Zebrafish is a useful animal model for studying human diseases such as muscle disorders. However, manual monitoring of fish motion is time-consuming and prone to subjective variations. In this paper, an automatic fish motion analytics framework is proposed. The proposed framework could be exploited to help validate zebrafish models of transgenic zebrafish that express human genes carrying mutations which lead to muscle disorders, thus affecting their ability to swim normally. To differentiate between wild-type (normal) and transgenic zebrafish, the proposed framework consists of two approaches to exploit discriminative spatial---temporal kinematic features which are extracted to represent zebrafish movements. First, the proposed approach studies precise quantitative measurements of motor movement abnormalities using a camera with the capability to record videos with high frames rates (up to 1,000 frames per second). This differs from previous works, which only tracked each fish as a single point over time. Second, the proposed approach studies multi-view spatial---temporal swimming trajectories. This differs from previous works which typically only considered single-view analysis of fish swimming trajectories. The proposed motion features are then incorporated into a supervised classification approach to identify abnormal fish movements. Experimental results have shown that the proposed approach is capable of differentiating between wild-type and transgenic zebrafish, thus helping to validate the zebrafish models. |
| تدمد: | 1432-1882 0942-4962 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::220a6a07c8799a9fe2e24e9fb648fa49Test https://doi.org/10.1007/s00530-014-0441-6Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........220a6a07c8799a9fe2e24e9fb648fa49 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14321882 09424962 |
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