Automated tracking and analysis of behavior in restrained insects.

Journal: Journal of neuroscience methods
PMID: 25445245

Abstract

BACKGROUND: Insect behavior is often monitored by human observers and measured in the form of binary responses. This procedure is time costly and does not allow a fine graded measurement of behavioral performance in individual animals. To overcome this limitation, we have developed a computer vision system which allows the automated tracking of body parts of restrained insects.

Authors

  • Minmin Shen
    INCIDE Center (Interdisciplinary Center for Interactive Data Analysis, Modelling and Visual Exploration), University of Konstanz, Germany; School of Software Engineering, South China University of Technology, PR China. Electronic address: minmin.shen@uni-konstanz.de.
  • Paul Szyszka
    Institute of Neurobiology, University of Konstanz, Germany. Electronic address: paul.szyszka@uni-konstanz.de.
  • Oliver Deussen
    INCIDE Center (Interdisciplinary Center for Interactive Data Analysis, Modelling and Visual Exploration), University of Konstanz, Germany. Electronic address: oliver.deussen@uni-konstanz.de.
  • C Giovanni Galizia
    Institute of Neurobiology, University of Konstanz, Germany. Electronic address: giovanni.galizia@uni-konstanz.de.
  • Dorit Merhof
    Department of Diagnostic and Interventional Radiology, University Hospital Düsseldorf, Düsseldorf, Germany (J.S., D.B.A., S.N.); Institute of Computer Vision and Imaging, RWTH University Aachen, Pauwelsstrasse 30, 52072 Aachen, Germany (J.S., D.M.); Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany (D.T., M.P., F.M., C.K., S.N.); and Faculty of Mathematics and Natural Sciences, Institute of Informatics, Heinrich Heine University Düsseldorf, Düsseldorf, Germany (S.C.).

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