一种大小鼠明暗箱图像分析处理系统的研制

摘要

Objective To develop a computer-aided-controlling and analysis system for light/dark box in mice and rats with a high degree of automation and intelligence.Methods Video recording and image processing were applied to develop the computer-aided-controlling and image analysis system for light/dark box test in mice and rats. The artificial environment was developed. The stability and reliability of the system was validated by male rats. Results The percentage of time spent in the lit chamber in total time was above 79.40%. The data showed that the artificial environment was successful. When the threshold was set at 18 cm/s, the data showed a high correlation coefficient of movement time between the computer and manual recordings(r > 0.99). Classical indexes including transition and time spent in both the lit and dark chambers also showed a high correlation. The model group showed a significantly decrease in the transitions and time spent in the lit chamber compared with the control group, indicating a high stability and reliability of the light/dark box test. Conclusions A stable and highly intelligent computer-aided-controlling and image analysis system for light/dark box test of mice and rats has been developed,and it could be used for pathological mechanism studies of anxiolytics.%目的 建立一种稳定、高自动化的明暗箱,为抗焦虑药物的筛选以及焦虑症病理机制的研究提供自动化检测分析技术.方法 采用计算机视频跟踪、图像分析等技术,研制大鼠、小鼠明暗箱图像分析处理系统.并用雄性 Wistar大鼠进行明暗环境和指标准确性的验证.结果 暗室时间为总时间的79.40 %,成功建立明暗环境.运动阈值为18 cm/s 时,计算机所获数据与人工记录所获结果具有高度相关性,r > 0.99.穿箱次数、明室时间、暗室时间、入暗潜伏期的人机相关系数r > 0.99.与空白组相比,明暗箱模型组穿箱次数、明室时间显著减少.结论 明暗箱图像分析处理系统稳定、可靠、自动化程度高、提取信息量大,指标客观灵敏,可推广用于抗焦虑药物的筛选以及焦虑症病理机制的研究.