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使用RESHAPE对小鼠视网膜色素上皮形态测量异质性进行分类:一种基于人工智能的图像分析工具。

Classifying Mouse RPE Morphometric Heterogeneity Using REShAPE: An AI-Based Image Analysis Tool.

作者信息

Ortolan Davide, Reichert Dominik, Li Huirong, Walmsley Dylan, Sharma Ruchi, Bharti Kapil

机构信息

Ocular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA.

出版信息

Adv Exp Med Biol. 2025;1468:395-399. doi: 10.1007/978-3-031-76550-6_65.

Abstract

Retinal degenerative diseases caused by retinal pigment epithelium (RPE) dysfunction affect specific areas of the retina. Regions of molecular and phenotypic RPE heterogeneity have been described in the human eye and are thought to underlie geographic differential RPE sensitivity to degeneration. The mouse is one of the most widely used models to study retinal degeneration. A deeper understanding of mouse RPE heterogeneity can facilitate the interpretation of the observed phenotypes in models of retinal degeneration. In this study, we used an AI-based image analysis algorithm (REShAPE) to generate morphometric maps of RPE flatmounts in young adult mice (2 months old). Using cell area, we distinguished three concentric subpopulations of phenotypic heterogeneity. Treatment with sodium iodate, a widely used oxidative agent to model retinal degenerations, induced RPE atrophy of the two centermost subpopulations. RPE morphometric analysis could prove useful when analyzing animal models of retinal degeneration.

摘要

由视网膜色素上皮(RPE)功能障碍引起的视网膜退行性疾病会影响视网膜的特定区域。在人眼中已描述了分子和表型RPE异质性区域,并且认为这是地理差异RPE对变性敏感性的基础。小鼠是研究视网膜变性最广泛使用的模型之一。对小鼠RPE异质性的更深入了解可以促进对视网膜变性模型中观察到的表型的解释。在本研究中,我们使用基于人工智能的图像分析算法(REShAPE)生成了年轻成年小鼠(2个月大)RPE平铺的形态测量图。利用细胞面积,我们区分了三个表型异质性的同心亚群。用碘酸钠(一种广泛用于模拟视网膜变性的氧化剂)处理可诱导两个最内层亚群的RPE萎缩。RPE形态测量分析在分析视网膜变性动物模型时可能有用。

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