1. An automated method for identifying areas of interest in optical coherence tomography (OCT) image data of an eye, said method comprising: collecting OCT image data over a plurality of transverse locations of the eye of a patient; processing the data to identify motion contrast; generating a two-dimensional en face vasculature image from the processed data; analyzing the intensity of the en face vasculature image to identify a particular area; displaying or storing the identified area.