• DocumentCode
    2848264
  • Title

    High-speed video analysis of laboratory rats behaviors in forced swim test

  • Author

    Nie, Yongjie ; Ishii, Idaku ; Yamamoto, Koji ; Takaki, Takeshi ; Orito, K. ; Matsuda, Hidemitsu

  • Author_Institution
    Hiroshima Univ., Hiroshima
  • fYear
    2008
  • fDate
    23-26 Aug. 2008
  • Firstpage
    206
  • Lastpage
    211
  • Abstract
    The forced swim test (FST) is a method for measuring the pharmacological effects of antidepressants or changes in stress-evoked behavior in laboratory animals such as rats and mice. However, traditional manual or automatic measurement methods using video recorded at 30 fps (frames per second) have not always been accurate and objective because laboratory animals frequently make quick movements during the FST. In the present paper, a novel laboratory animal behavior quantification system is developed for the FST by introducing a high-speed vision system that can record images at a frame rate of 240 fps for a long time. The developed system can accurately discriminate immobility, climbing, and swimming behaviors of laboratory rats in the FST. We evaluate the effectiveness of the developed system by obtaining experimental results for a nine-minute FST using several laboratory rats.
  • Keywords
    behavioural sciences; biology computing; computer vision; neurophysiology; video signal processing; zoology; antidepressant pharmacological effect measurement; forced swim test; high-speed video analysis; high-speed vision system; laboratory animal behavior quantification system; laboratory rat behavior; stress-evoked behavior; Animals; Antidepressants; Automatic testing; Drugs; Image analysis; Laboratories; Machine vision; Mice; Plasma welding; Rats; antidepressants; automatic behavior quantification; forced swim test; high-speed vision; image analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2022-3
  • Electronic_ISBN
    978-1-4244-2023-0
  • Type

    conf

  • DOI
    10.1109/COASE.2008.4626501
  • Filename
    4626501