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A comparative study of optimization algorithms for wavefront shaping

Fayyaz, Z ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1142/S1793545819420021
  3. Publisher: World Scientific Publishing Co. Pte Ltd , 2019
  4. Abstract:
  5. By manipulating the phase map of a wavefront of light using a spatial light modulator, the scattered light can be sharply focused on a specific target. Several iterative optimization algorithms for obtaining the optimum phase map have been explored. However, there has not been a comparative study on the performance of these algorithms. In this paper, six optimization algorithms for wavefront shaping including continuous sequential, partitioning algorithm, transmission matrix estimation method, particle swarm optimization, genetic algorithm (GA), and simulated annealing (SA) are discussed and compared based on their efficiency when introduced with various measurement noise levels
  6. Keywords:
  7. Wave front shaping algorithms ; Wavefront shaping ; Genetic algorithms ; Iterative methods ; Light modulators ; Optimization ; Particle swarm optimization (PSO) ; Simulated annealing ; Wavefronts ; Comparative studies ; Iterative optimization algorithms ; Optimization algorithms ; Partitioning algorithms ; Spatial light modulators ; Transmission matrix ; Turbid media ; Shape optimization ; Comparative study ; Controlled study ; Genetic algorithm ; Noise ; Simulation
  8. Source: Journal of Innovative Optical Health Sciences ; Volume 12, Issue 4 , 2019 ; 17935458 (ISSN)
  9. URL: https://www.worldscientific.com/doi/10.1142/S1793545819420021