​The principal goal of our computational ophthalmology group is to make high-performance computing resources easily accessible and provide state-of-the-art, custom software available to vision researchers engaged in cellular, animal, and human vision research studies. In particular, availability of structural imaging instruments such as spectral domain and swept source optical coherence tomography (OCT) and OCT angiography has dramatically increased the size and scale of data collected in ophthalmology, in both research and clinical settings. Improving our understanding of the histopathology of major eye diseases including glaucoma, age-related macular degeneration, and diabetic retinopathy requires software tools that aid researchers in managing and processing large-scale image datasets. To this end, we have developed tools to automatically analyze and extract relevant information from OCT images.