Optimization of an optical coherence imaging (OCI) system on the basis of task performance is a challenging undertaking. We present a mathematical framework based on task performance that uses statistical decision theory for the optimization and assessment of such a system. Specifically, we apply the framework to a relatively simple OCI system combined with a specimen model for a detection task and a resolution task. We consider three theoretical Gaussian sources of coherence lengths of 2, 20, and 40 microm. For each of these coherence lengths we establish a benchmark performance that specifies the smallest change in index of refraction that can be detected by the system. We also quantify the dependence of the resolution performance on the specimen model being imaged.

Data are presented of efficient single-pass green-light second-harmonic generation from a periodically-poled LiNbO 3 waveguide crystal. Over 220 mW maximum green light output power with an optical-to-optical conversion efficiency of over 70% is measured. Green-induced infrared absorption is indicated to be the major absorption loss in this waveguide. A simple analytic expression is derived and used to estimate the crystal waveguide absorption coefficient, which was found to be 7 Â 10 23 cm 21 .

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