  Holographic optical traps use the forces exerted by computer-generated
holograms to trap, move and otherwise transform mesoscopically textured
materials. This article introduces methods for optimizing holographic optical
traps' efficiency and accuracy, and an optimal statistical approach for
characterizing their performance. This combination makes possible real-time
adaptive optimization.
