Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (15): 2778-2782.doi: 10.3969/j.issn.1673-8225.2010.15.028

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Establishment of a highly automated and intelligent experimental system of passive avoidance for mice

Xue Dan 1,2, Chen Shan-guang3, Xu Shu-ping1, Shi Zhe1, Li Hai-qing4, Yin Tai-hui5, Liu Xin-min1, Li Peng-tao6   

  1. 1 Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Perking Union Medical College, Beijing  100193, China; 2 School of Basic Medical Science, Beijing University of Chinese Medicine, Beijing  100029, China; 3 Astronaut Center of China, Beijing  100094, China; 4 the 14th Research Room of Astronaut Center of China, Beijing  100094, China; 5 the 12 th Research Room of Astronaut Center of China, Beijing  100094, China; 6 Department of Neurology, Dongzhimen Hospital, Beijing Traditional Chinese Medicine University, Beijing  100701, China
  • Online:2010-04-09 Published:2010-04-09
  • Contact: Liu Xin-min, Researcher, Doctoral supervisor, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Perking Union Medical College, Beijing 100193, China Liuxinmin@hotmail.com
  • About author:Xue Dan☆, Studying for doctorate, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Perking Union Medical College, Beijing 100193, China; School of Basic Medical Science, Beijing University of Chinese Medicine, Beijing 100029, China
  • Supported by:

    National Key Technology Research &Development Program, No. 2006BAI08B05-07*; National Science &Technology Major Project, No. 2009ZX09502-014*

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Abstract:

BACKGROUND: Widely used in cognitive dysfunction research, passive avoidance test was executed time consuming, less information and lack of objectivity in the traditional manner. The development of modern technology such as computer and information engineering is beneficial for inventing new detective methods.
OBJECTIVE: To establish a highly automated and intelligent experimental system of passive avoidance for studying learning and memory in animal behavior pharmacology.
METHODS: Image processing and pattern recognition technology was applied to obtain the activity information of mice in both the lit and dark chambers. Normal and cognitive dysfunction mice induced by scopolamine hydrobromide were tested in the passive avoidance test. Meanwhile, the data were compared with those acquired by manual labor.
RESULTS AND CONCLUSION: Automatic control of the experiment could be realized by applying this technology and the indexes obtained by the system were consistent with those acquired by manual labor. Furthermore, besides classical indexes, the acquired new indexes, such as time spent in both the lit and dark chambers, time in the region near door in the lit chamber might be more sensitive than classical indexes. The technology has intellectual property rights and the intelligent experiment system can be widely used in the study of nootropic drugs.

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