Unraveling the functional signals of rods and cones in the human retina: separation and analysis

C. Pfäffle, L. Puyo, H. Spahr, Dierck Hillmann, Yoko Miura, G. Hüttmann
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Abstract

In recent years, optoretinography has become an important functional imaging method for the retina, as light-evoked changes in the photoreceptors have been demonstrated for a large number of different OCT systems. Full-field swept-source optical coherence tomography (FF-SS-OCT) is particularly phase-stable, and it is currently the only technique sensitive enough to detect the smaller functional changes in the inner plexiform layer (IPL). However, the resolution of state-of-the art FF-SS-OCT systems is not high enough to distinguish individual photoreceptors. This makes it difficult to separate rods from cones. In this work, we circumvent this problem by separating the functional changes in rods and cones by their different temporal dynamics to the same light stimulus. For this purpose, a mathematical model was developed that represents the measured signals as a superposition of two impulse responses. The developed model describes the measured data under different imaging conditions very well and is able to analyze the sensitivity and temporal dynamics of the two photoreceptor types separately.
揭示人类视网膜中视杆细胞和视锥细胞的功能信号:分离与分析
近年来,光视网膜成像已成为视网膜的一种重要功能成像方法,因为大量不同的光学相干断层扫描系统都已证实了光诱发的感光器变化。全场扫源光学相干断层扫描(FF-SS-OCT)的相位稳定性特别好,是目前唯一一种灵敏度足以检测内丛状层(IPL)较小功能变化的技术。然而,最先进的 FF-SS-OCT 系统分辨率不够高,无法区分单个光感受器。这就很难将视杆细胞和锥体细胞区分开来。在这项研究中,我们通过区分视杆细胞和视锥细胞对同一光刺激的不同时间动态变化来解决这一问题。为此,我们建立了一个数学模型,将测量到的信号表示为两个脉冲响应的叠加。所建立的模型能很好地描述不同成像条件下的测量数据,并能分别分析两种感光器的灵敏度和时间动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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