In specifying OCT system performances, there are several attributes one can inspect: physical dimension of the acquired volume—or field-of-view (FOV), image curvature, resolution, sensitivity, signal-to-noise ratio (SNR), signal fall-off, vignetting, etc. These metrics are typically evaluated using planar objects such as mirrors, calibration targets, or metallic grids. In order to calibrate the OCT volume, it is necessary to axially move these planar objects with controlled steps. Moreover, several targets may be required to completely characterize an OCT system. Indeed, performing all these measurements on a single OCT system, using targets designed for en face imaging, is time-consuming, especially as no algorithm currently exists to automatically extract OCT characteristics from the acquired data. Hence, the complete characterization of a given system is rarely routinely performed, nor is the characterization method standardized between centers.