Department of Applied Physics, University of Zaragoza, Zaragoza, Spain.
Aragon Institute for Health Research (IIS Aragón), Zaragoza, Spain.
Sci Rep. 2018 Jul 3;8(1):10009. doi: 10.1038/s41598-018-28394-x.
The aim of this study was to develop software that performs the optokinetic tracking assessment without the involvement of experimenters to increase the objectivity of the test. To check the effectiveness of the software, several videos were analyzed and the results were compared to those produced by two experimenters. Videos consisted of visual acuity and contrast sensitivity tests on normal animals and pigmented P23H rats (animal model of retinitis pigmentosa). Our software showed a reasonably high success rate: in approximately 78% of the cases, both the software program and the experimenters were in agreement, including the direction of rotation. The software detected 7% false positive cases, 10% false negative cases, and it was wrong in 5% of the cases. Decrease in visual function with age in pigmented P23H rats was observed from the first time interval, although minimum thresholds were found in visual parameters at advanced ages. We developed simple software based on current functions included in the Matlab image processing toolbox that was able to recognize, with a reasonably high percentage of success, the subtle head movements of the rodent produced when visual perception of the optokinetic optotype occurs.
本研究的目的是开发一种无需实验人员参与即可进行视动跟踪评估的软件,以提高测试的客观性。为了检查软件的有效性,我们分析了几个视频,并将结果与两名实验员的结果进行了比较。这些视频包括正常动物和 P23H 色素沉着大鼠(视网膜色素变性动物模型)的视力和对比敏感度测试。我们的软件显示出相当高的成功率:在大约 78%的情况下,软件程序和实验员的结果是一致的,包括旋转方向。该软件检测到 7%的假阳性病例、10%的假阴性病例,以及 5%的错误病例。在 P23H 色素沉着大鼠中,从第一个时间间隔就观察到视觉功能随年龄的下降,尽管在视觉参数中发现了较高年龄的最小阈值。我们开发了一种简单的软件,它基于当前包含在 Matlab 图像处理工具箱中的功能,能够以相当高的成功率识别出啮齿动物在感知视动图形时产生的微妙头部运动。