Chang Lily Yu-Li, Turuwhenua Jason, Qu Tian Yuan, Black Joanna M, Acosta Monica L
School of Optometry and Vision Science, Faculty of Medical and Health Sciences, The University of AucklandAuckland, New Zealand; Auckland Bioengineering Institute, The University of AucklandAuckland, New Zealand; Centre for Brain Research, The University of AucklandAuckland, New Zealand; New Zealand National Eye Centre, The University of AucklandAuckland, New Zealand.
School of Optometry and Vision Science, Faculty of Medical and Health Sciences, The University of AucklandAuckland, New Zealand; Auckland Bioengineering Institute, The University of AucklandAuckland, New Zealand; New Zealand National Eye Centre, The University of AucklandAuckland, New Zealand.
Front Integr Neurosci. 2017 Mar 7;11:6. doi: 10.3389/fnint.2017.00006. eCollection 2017.
Clinical assessment of pupil appearance and pupillary light reflex (PLR) may inform us the integrity of the autonomic nervous system (ANS). Current clinical pupil assessment is limited to qualitative examination, and relies on clinical judgment. Infrared (IR) video pupillography combined with image processing software offer the possibility of recording quantitative parameters. In this study we describe an IR video pupillography set-up intended for human and animal testing. As part of the validation, resting pupil diameter was measured in human subjects using the NeurOptics (Irvine, CA, USA) pupillometer, to compare against that measured by our IR video pupillography set-up, and PLR was assessed in guinea pigs. The set-up consisted of a smart phone with a light emitting diode (LED) strobe light (0.2 s light ON, 5 s light OFF cycles) as the stimulus and an IR camera to record pupil kinetics. The consensual response was recorded, and the video recording was processed using a custom MATLAB program. The parameters assessed were resting pupil diameter (D1), constriction velocity (CV), percentage constriction ratio, re-dilation velocity (DV) and percentage re-dilation ratio. We report that the IR video pupillography set-up provided comparable results as the NeurOptics pupillometer in human subjects, and was able to detect larger resting pupil size in juvenile male guinea pigs compared to juvenile female guinea pigs. At juvenile age, male guinea pigs also had stronger pupil kinetics for both pupil constriction and dilation. Furthermore, our IR video pupillography set-up was able to detect an age-specific increase in pupil diameter (female guinea pigs only) and reduction in CV (male and female guinea pigs) as animals developed from juvenile (3 months) to adult age (7 months). This technique demonstrated accurate and quantitative assessment of pupil parameters, and may provide the foundation for further development of an integrated system useful for clinical applications.
瞳孔外观和瞳孔对光反射(PLR)的临床评估可以让我们了解自主神经系统(ANS)的完整性。目前的临床瞳孔评估仅限于定性检查,且依赖于临床判断。红外(IR)视频瞳孔描记术结合图像处理软件提供了记录定量参数的可能性。在本研究中,我们描述了一种用于人类和动物测试的红外视频瞳孔描记术设置。作为验证的一部分,使用NeurOptics(美国加利福尼亚州欧文市)瞳孔计测量人类受试者的静息瞳孔直径,以与我们的红外视频瞳孔描记术设置所测量的结果进行比较,并在豚鼠中评估PLR。该设置包括一部带有发光二极管(LED)频闪灯(亮0.2秒,关5秒循环)作为刺激源的智能手机和一台用于记录瞳孔动态的红外摄像机。记录了对侧反应,并使用定制的MATLAB程序对视频记录进行处理。评估的参数包括静息瞳孔直径(D1)、收缩速度(CV)、收缩百分比、再扩张速度(DV)和再扩张百分比。我们报告称,红外视频瞳孔描记术设置在人类受试者中提供了与NeurOptics瞳孔计相当的结果,并且与幼年雌性豚鼠相比,能够检测到幼年雄性豚鼠更大的静息瞳孔大小。在幼年时,雄性豚鼠在瞳孔收缩和扩张方面也具有更强的瞳孔动态。此外,随着动物从幼年(3个月)发育到成年(7个月),我们的红外视频瞳孔描记术设置能够检测到特定年龄的瞳孔直径增加(仅雌性豚鼠)和CV降低(雄性和雌性豚鼠)。这项技术展示了对瞳孔参数的准确和定量评估,并可能为进一步开发用于临床应用的集成系统提供基础。