Abstract
The human retina is an easily accessible tissue and can be non-invasively imaged using a number of different modalities. The ability to directly visualize the living retina provides an implicit advantage in diagnosing and monitoring retinal disease. While OCT enables resolution of different retinal layers and OCT-angiography allows visualization of the retinal vasculature, adaptive optics based imaging systems have superior lateral resolution and are capable of imaging the smallest photoreceptor cells in the living retina (rods and foveal cones). In both modalities, the clinical application of such images is fundamentally limited by the ability to extract quantitative information from them. The purpose of this talk is to describe our efforts in analyzing these various types of retinal images. I will discuss limitations regarding the derivation of quantitative metrics as well as the role imaging databanks may play in helping move the field forward.