Particle-swarm optimization of axially superresolving binary-phase diffractive optical elements
Abbreviated Journal Title
POINT-SPREAD FUNCTION; ONLY PUPIL FILTERS; DESIGN; LIMITS; MASKS; Optics
A particle-swarm optimization (PSO) algorithm was developed for designing binary-phase-only diffractive optical elements (DOEs) that superresolve the axially focused point-spread function. The method is based on vector diffraction theory to ensure solutions are valid under high-NA conditions. A DOE is identified that superresolves the focal spot by 34% and maintains the sidelobes below 50% of the peak intensity. The algorithm was used to obtain the Pareto front of the fitness-value space, which describes the achievable super-resolution versus an allowed upper bound in sidelobe intensity. The results suggest that the algorithm yields solutions that are global in terms of the co-optimized fitness values G and M. (C) 2008 Optical Society of America.
"Particle-swarm optimization of axially superresolving binary-phase diffractive optical elements" (2008). Faculty Bibliography 2000s. 479.