Through a systematic observational study, the intrinsic connections and patterns between the occurrence and development of common blinding retinal diseases such as diabetic retinopathy, pathological myopia, and age-related macular degeneration and the changes in fine parameters of the anterior structure of the eye are deeply explored. To achieve this goal, investigators will adopt cutting-edge multimodal imaging technology to simultaneously collect precise data from ocular surface and fundus of participants. By integrating and analyzing these multi-dimensional information from different parts of the same eye, investigators will build a high-quality and standardized ocular surface-fundus associated image database. This database not only aims to reveal potential ocular surface biomarkers that can be used for early warning or auxiliary diagnosis, but also lays a solid data foundation for the future development of artificial intelligence-assisted diagnostic tools and the establishment of a brand-new ocular surface-fundus integrated diagnosis and treatment assessment model.