Comprehensive Automatic Processing and Analysis of Adaptive Optics Flood Illumination Retinal Images

A collaborative research group has established this database to support AO-FIO image utilization and evaluation of photoreceptor detection. <br> Please cite the following publication when using the database: Eva Valterova, Jan D. Unterlauft, Mike Francke, Toralf Kirsten, Radim Kolar, and Franziska G. Rauscher, "Comprehensive automatic processing and analysis of adaptive optics flood illumination retinal images on healthy subjects," Biomed. Opt. Express <strong>14</strong>, 945-970 (2023)<br> <br> The database can be utilized in connection with our application MATADOR for AO-FIO image registration and analysis, which is freely available on: https://github.com/evavalterova/MATADOR.git The database includes over 200 flood illumination adaptive optics images of 10 normal healthy subjects. Each folder includes 10 images of the right eye (denoted by OD) and 10 images of the left eye (denoted by OS) with their preliminary determined retinal position during image acquisition. foveal and peripheral patches. Each consists of 40 cropped regions from the set of 200 images. In each cropped region are manually labeled positions of photoreceptors by three evaluators. axial lengths of 10 subjects in ".xlsx" file<br>本数据库由协作研究团队构建，旨在支撑自适应光学 flood照明成像（Adaptive Optics Flood Illumination, AO-FIO）图像的应用及光感受器检测效果的评估。使用本数据库时，请引用下述文献：Eva Valterova、Jan D. Unterlauft、Mike Francke、Toralf Kirsten、Radim Kolar及Franziska G. Rauscher的《健康受试者自适应光学 flood照明视网膜图像的全自动化处理与分析》，发表于*Biomed. Opt. Express* **14**卷，第945-970页（2023年）。本数据库可与我们开发的用于AO-FIO图像配准与分析的MATADOR应用程序配套使用，该程序可从以下网址免费获取：https://github.com/evavalterova/MATADOR.git。本数据库包含10名健康正常受试者的200余幅自适应光学 flood照明视网膜图像。每个文件夹包含10幅右眼（标注为OD）与10幅左眼（标注为OS）图像，并附带图像采集过程中初步确定的视网膜位置信息，同时涵盖黄斑中心凹与周边视野图像块。每类图像块均由200幅原始图像裁剪得到的40个区域构成，所有裁剪区域均由3名评估人员手动标注光感受器位置。10名受试者的眼轴长度数据存储于".xlsx"格式文件中。