Retinal imaging and image analysis are critical for diagnosing and managing eye diseases and systemic conditions that manifest in the retina. This review discusses retinal imaging techniques, including 2-D fundus imaging and 3-D optical coherence tomography (OCT), and their clinical applications. The retina, a layered tissue in the eye, is essential for converting light into neural signals. It is highly metabolically active and has a dual blood supply, making it accessible for non-invasive imaging. Retinal imaging can detect and diagnose various diseases, including age-related macular degeneration, diabetic retinopathy, glaucoma, and systemic conditions like hypertension and multiple sclerosis. The review emphasizes quantitative image analysis methods for retinal vasculature assessment, lesion detection, and automated screening. It also covers 3-D OCT analysis for retinal layer segmentation, vasculature, and exudate detection. Fundus photography and OCT are widely used for retinal disease diagnosis and management. The review highlights the importance of retinal imaging in early detection of diseases, particularly diabetic retinopathy, and its role in population screening. It discusses the history of retinal imaging, from early ophthalmoscopes to modern OCT technology, and the challenges in fundus imaging, such as pupil size and light reflection. The review also addresses current research areas, including portable fundus imaging, functional imaging, adaptive optics, and longer wavelength OCT for deeper retinal structures. The clinical applications of retinal imaging include early detection of retinal diseases, monitoring disease progression, and guiding treatments like laser therapy and anti-VEGF injections. The review concludes that retinal imaging is a vital tool in ophthalmology for improving patient care and outcomes.Retinal imaging and image analysis are critical for diagnosing and managing eye diseases and systemic conditions that manifest in the retina. This review discusses retinal imaging techniques, including 2-D fundus imaging and 3-D optical coherence tomography (OCT), and their clinical applications. The retina, a layered tissue in the eye, is essential for converting light into neural signals. It is highly metabolically active and has a dual blood supply, making it accessible for non-invasive imaging. Retinal imaging can detect and diagnose various diseases, including age-related macular degeneration, diabetic retinopathy, glaucoma, and systemic conditions like hypertension and multiple sclerosis. The review emphasizes quantitative image analysis methods for retinal vasculature assessment, lesion detection, and automated screening. It also covers 3-D OCT analysis for retinal layer segmentation, vasculature, and exudate detection. Fundus photography and OCT are widely used for retinal disease diagnosis and management. The review highlights the importance of retinal imaging in early detection of diseases, particularly diabetic retinopathy, and its role in population screening. It discusses the history of retinal imaging, from early ophthalmoscopes to modern OCT technology, and the challenges in fundus imaging, such as pupil size and light reflection. The review also addresses current research areas, including portable fundus imaging, functional imaging, adaptive optics, and longer wavelength OCT for deeper retinal structures. The clinical applications of retinal imaging include early detection of retinal diseases, monitoring disease progression, and guiding treatments like laser therapy and anti-VEGF injections. The review concludes that retinal imaging is a vital tool in ophthalmology for improving patient care and outcomes.