Ehler Martin, Dobrosotskaya Julia, Cunningham Denise, Wong Wai T, Chew Emily Y, Czaja Wojtek, Bonner Robert F
Faculty of Mathematics, University of Vienna, Vienna, Austria.
Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, OH, United States of America.
PLoS One. 2015 Jul 21;10(7):e0131881. doi: 10.1371/journal.pone.0131881. eCollection 2015.
We introduce and describe a novel non-invasive in-vivo method for mapping local rod rhodopsin distribution in the human retina over a 30-degree field. Our approach is based on analyzing the brightening of detected lipofuscin autofluorescence within small pixel clusters in registered imaging sequences taken with a commercial 488nm confocal scanning laser ophthalmoscope (cSLO) over a 1 minute period. We modeled the kinetics of rhodopsin bleaching by applying variational optimization techniques from applied mathematics. The physical model and the numerical analysis with its implementation are outlined in detail. This new technique enables the creation of spatial maps of the retinal rhodopsin and retinal pigment epithelium (RPE) bisretinoid distribution with an ≈ 50μm resolution.
我们介绍并描述了一种新颖的非侵入性体内方法,用于在30度视野范围内绘制人视网膜中局部视紫红质的分布图。我们的方法基于分析在商用488nm共焦扫描激光眼科显微镜(cSLO)拍摄的1分钟注册成像序列中,小像素簇内检测到的脂褐素自发荧光的亮度增强情况。我们通过应用应用数学中的变分优化技术对视紫红质漂白动力学进行建模。详细概述了物理模型及其实现的数值分析。这项新技术能够以约50μm的分辨率创建视网膜视紫红质和视网膜色素上皮(RPE)双视黄醛分布的空间图。