QUANTITATIVE ANALYSIS OF AGING PRIMATE RETINA

视觉研究的一个主要问题是人类的视觉表现 受到附属神经组织的结构的限制 它。我们的目标是建立可靠和内部一致的 用于比较人体解剖学的解剖学数据库 光感受器(PR)镶嵌到视觉功能。 在这项提案中，我们继续确定年龄- 视功能的相关下降可以用PR的丧失来解释 和视网膜中的神经节细胞(GC)。我们用的是未染色的视网膜 整体安装和计算机辅助形态测量来表征 圆锥体、棒体、GC的空间密度和GC的尺寸谱 70岁以上供眼的胞体。我们还将使用这些 老年性黄斑狼疮患者少量眼球的研究 记录良好的视觉功能。有关这些单元格类型的数据可以 作为其他老年性黄斑病变研究的基线 以及青光眼，这是老年人的主要致盲疾病。 我们还建议扩展我们在空间分布方面的工作 年轻视网膜中的视锥细胞更详细地描述了 采样、灵敏度和 人脑锥体马赛克的连通性。我们将使用 基于Voronoi的空间统计和快速傅立叶方法 分析锥形填料几何形状作为偏心距的函数。我们 将研究蓝锥体的空间分布 使用一种新近开发的针对人视网膜的抗体 蓝色锥形眼镜片。锥体高效聚光的能力， 在一定程度上是由内外段的形态决定的。我们 计划使用计算机重建和 光学切片的长轴图形显示 克隆人。最后，我们将研究圆锥-圆锥的图案 在外周视网膜中注射补丁的连接性 在体外制剂中的相邻锥体和检查 圆锥形端茎形成的连接模式。 我们还将确定视野投影到 人体GC层通过考虑中心凹GC的侧向偏移量。 我们之前收集的关于GC空间密度的数据可以 用单元格/de2表示为偏心率的函数 以视觉度数表示。这些数据可以与 视锥细胞在同一只眼内的分布与已发表的估计 人体大脑皮层放大系数。

A major question is vision research is how human visual performance is limited by the architecture of the neural tissue which subserves it. Our goal is to establish a reliable and internally consistent anatomical database for comparing the anatomy of the human photoreceptor (PR) mosaic to visual function. In this proposal we continue to determine the extent to which age- related declines in visual function can be explained by loss of PR and ganglion cells (GC) in the retina. We use an unstained retinal whole mount and computer-assisted morphometry to characterize the spatial density of cones, rods, GC, and the size spectrum of GC somata in donor eyes over 70 years of age. We will also use these techniques to study a small number of eyes from elderly person with well documented visual function. Data on these cell types can serve as a base line for other studies of age-related maculopathy and glaucoma, major blinding disease of the elderly. We also propose to extend our work on the spatial distribution of cones in young retina to more detailed characterization of morphological substrates underlying sampling, sensitivity, and connectivity properties of the human cone mosaic. We will use Voronoi-based spatial statistics and Fast Fourier methods to analyze cone packing geometry as a function of eccentricity. We will investigate the spatial distribution of blue cones in the human retina using a recently developed antibody specific to the blue cone opsin. The ability of cones to gather light efficiently, is determined partly by inner and outer segment morphology. We plan to quantify this morphology using computer reconstruction and graphic display of optical sections through the long axis of clones. Finally, we will investigate the pattern of cone-cone connectivity in the peripheral retina by injecting a patch of adjacent cones in an in vitro preparation and examining the patterns of connections made by cone telodendria. We will also determine the projection of visual field onto the human GC layer by accounting for the lateral offset of foveal GC. Our previously collected data on the spatial density of GC can then be expressed in terms of cells/deg2 as a function of eccentricity in visual degrees. These data can be compared with the distribution of cones in the same eyes and with published estimates of the human cortical magnification factor.