提取健康视网膜中基于间距的视杆细胞密度估计值。
Extracting spacing-derived estimates of rod density in healthy retinae.
作者信息
Heitkotter Heather, Patterson Emily J, Woertz Erica N, Cava Jenna A, Gaffney Mina, Adhan Iniya, Tam Johnny, Cooper Robert F, Carroll Joseph
机构信息
Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI, USA.
These authors contributed equally to this work.
出版信息
Biomed Opt Express. 2022 Dec 5;14(1):1-17. doi: 10.1364/BOE.473101. eCollection 2023 Jan 1.
Quantification of the rod photoreceptor mosaic using adaptive optics scanning light ophthalmoscopy (AOSLO) remains challenging. Here we demonstrate a method for deriving estimates of rod density and rod:cone ratio based on measures of rod spacing, cone numerosity, and cone inner segment area. Twenty-two AOSLO images with complete rod visualization were used to validate this spacing-derived method for estimating density. The method was then used to estimate rod metrics in an additional 105 images without complete rod visualization. The spacing-derived rod mosaic metrics were comparable to published data from histology. This method could be leveraged to develop large normative databases of rod mosaic metrics, though limitations persist with intergrader variability in assessing cone area and numerosity.
使用自适应光学扫描激光检眼镜（AOSLO）对视杆光感受器镶嵌进行定量分析仍然具有挑战性。在此，我们展示了一种基于视杆间距、视锥数量和视锥内节面积的测量来推导视杆密度和视杆与视锥比例估计值的方法。使用22张具有完整视杆可视化的AOSLO图像来验证这种基于间距推导的密度估计方法。然后，该方法被用于估计另外105张没有完整视杆可视化的图像中的视杆指标。基于间距推导的视杆镶嵌指标与已发表的组织学数据相当。尽管在评估视锥面积和数量时评分者间的变异性仍然存在局限性，但该方法可用于开发视杆镶嵌指标的大型规范数据库。
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