Efficient computation of computer-generated dynamic holograms via phase-induced compressive-sensing Gerchberg-Saxton...

The use of spatial light modulators in holographic optical tweezers relies heavily on phase-estimation algorithms to calculate phase masks. An algorithm of particular importance is the Gerchberg-Saxton algorithm. Recent research indicates that the performance of this algorithm can be enhanced through techniques such as compressive sensing and phase induction. This paper introduces what we believe to be a novel phase-estimation algorithm that combines these techniques to improve computational efficiency. Numerical evaluations of phase mask efficiency, uniformity, and computation time are conducted, with direct comparisons to other phase-estimation algorithms. Each algorithm is tested across regular and irregular trap placements, with the proposed method achieving competitive computation times while maintaining high-quality results. Our work can significantly accelerate computation time to generate dynamic computer-generated holograms, particularly in applications like holographic optical tweezers.