1. A method of processing an optical coherence tomography (OCT) dataset consisting of a multiplicity of A-scans, comprising: acquiring a dataset including a plurality of A-scans using an OCT device; determining one or more metrics for each of said A-scans or subsets thereof that are correlated to the level of contrast found in said A-scans or subsets; classifying the A-scans or subsets according to the value or values of the determined one or more metrics; and storing or displaying the classification or a further analysis thereof.