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Label-Free Density Measurements of Radial Peripapillary Capillaries in the Human Retina

机译:人视网膜中径向周乳头毛细血管的无标签密度测量

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摘要

Radial peripapillary capillaries (RPCs) comprise a unique network of capillary beds within the retinal nerve fibre layer (RNFL) and play a critical role in satisfying the nutritional requirements of retinal ganglion cell (RGC) axons. Understanding the topographical and morphological characteristics of these networks through in vivo techniques may improve our understanding about the role of RPCs in RGC axonal health and disease. This study utilizes a novel, non-invasive and label-free optical imaging technique, speckle variance optical coherence tomography (svOCT), for quantitatively studying RPC networks in the human retina. Six different retinal eccentricities from 16 healthy eyes were imaged using svOCT. The same eccentricities were histologically imaged in 9 healthy donor eyes with a confocal scanning laser microscope. Donor eyes were subject to perfusion-based labeling techniques prior to retinal dissection, flat mounting and visualization with the microscope. Capillary density and diameter measurements from each eccentricity in svOCT and histological images were compared. Data from svOCT images were also analysed to determine if there was a correlation between RNFL thickness and RPC density. The results are as follows: (1) The morphological characteristics of RPC networks on svOCT images are comparable to histological images; (2) With the exception of the nasal peripapillary region, there were no significant differences in RPC density measurements between svOCT and histological images; (3) Capillary diameter measurements were significantly greater in svOCT images compared to histology; (4) There is a positive correlation between RPC density and RNFL thickness. The findings in this study suggest that svOCT is a reliable modality for analyzing RPC networks in the human retina. It may therefore be a valuable tool for aiding our understanding about vasculogenic mechanisms that are involved in RGC axonopathies. Further work is required to explore the reason for some of the quantitative differences between svOCT and histology.
机译:周乳头状毛细血管(RPC)包含视网膜神经纤维层(RNFL)内的独特毛细血管床网络,并且在满足视网膜神经节细胞(RGC)轴突的营养需求方面起着至关重要的作用。通过体内技术了解这些网络的地形和形态特征可能会增进我们对RPC在RGC轴突健康和疾病中的作用的了解。这项研究利用一种新颖的,无创且无标签的光学成像技术,即散斑方差光学相干断层扫描(svOCT),来定量研究人视网膜中的RPC网络。使用svOCT对来自16只健康眼睛的六个不同的视网膜偏心率进行了成像。使用共聚焦扫描激光显微镜在9只健康供体眼睛中组织学上成像相同的离心率。在视网膜解剖,平面安装和显微镜观察之前,对供体眼睛进行基于灌注的标记技术。比较了svOCT和组织学图像中每个离心率的毛细管密度和直径测量结果。还分析了来自svOCT图像的数据,以确定RNFL厚度和RPC密度之间是否存在相关性。结果表明:(1)svOCT图像上的RPC网络的形态学特征与组织学图像相当。 (2)svOCT与组织学图像之间,除了鼻周周围的乳头周围区域,RPC密度测量无显着差异; (3)与组织学相比,svOCT图像中的毛细管直径测量值明显更大; (4)RPC密度与RNFL厚度呈正相关。这项研究中的发现表明,svOCT是分析人视网膜中RPC网络的可靠方式。因此,它可能是帮助我们了解RGC轴索病所涉及的血管生成机制的宝贵工具。需要进一步的工作来探究svOCT和组织学之间某些定量差异的原因。

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