中国组织工程研究

中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (15): 2778-2782.doi: 10.3969/j.issn.1673-8225.2010.15.028

• 组织构建实验造模 experimental modeling in tissue construction • 上一篇    下一篇

构建自动、智能及敏感度高的避暗实验检测系统

薛  丹1，2，陈善广3，徐淑萍1，石  哲1，李海清4，殷泰晖5，刘新民1，李澎涛6   

  1. 1中国医学科学院北京协和医学院药用植物研究所，北京市 100193；2北京中医药大学基础医学院，北京市  100029；3中国航天员中心，北京市  100094；中国航天员中心，4第十四研究室，5第十二研究室，北京市  100094；6北京中医药大学东直门医院神经内科，北京市  100701
  • 出版日期:2010-04-09 发布日期:2010-04-09
  • 通讯作者: 刘新民，研究员，博士生导师，中国医学科学院北京协和医学院药用植物研究所，北京市 100193 Liuxinmin@hotmail.com
  • 作者简介:薛 丹☆，女，1983年生，江苏省南京市人，汉族，2005年南京邮电大学毕业，在读博士，主要从事中药神经药理方面的研究。
  • 基金资助:

    国家科技支撑计划(2006BAI08B05-07)；国家科技重大专项(2009ZX09502-014)。

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*

PDF

401

被引次数

20

摘要：

背景：避暗法在认知功能障碍研究中应用广泛，但传统检测方法存在费时、信息量少、客观性差等问题。计算机、信息工程等现代科技的发展给构建新的实验检测方法提供了良好契机。
目的：建立一种自动化、智能化、敏感程度高的避暗实验系统，用于动物的学习记忆研究。
方法：采用图像处理、模式识别等技术提取动物在明暗室的活动信息，利用正常小鼠和东莨菪碱模型小鼠进行避暗实验，同时与传统检测结果进行比较。
结果与结论：实验所用的检测系统提取的指标与传统检测结果吻合度高，结果科学客观。且明暗室时间、路程、明室近口区时间等新指标可能比经典指标更加敏感。说明此系统是一种新的自动化、智能化程度高，指标敏感性强的避暗实验检测系统。

关键词: 避暗, 计算机, 图像处理, 小鼠, 学习记忆

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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