A comparative study of optimization algorithms for wavefront shaping

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...

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Bibliographic Details
Published inJournal of innovative optical health science Vol. 12; no. 4; pp. 1942002-1 - 1942002-9
Main Authors Fayyaz, Zahra, Mohammadian, Nafiseh, Reza Rahimi Tabar, M., Manwar, Rayyan, Avanaki, Kamran
Format Journal Article
LanguageEnglish
Published Singapore World Scientific Publishing Company 01.07.2019
World Scientific Publishing Co. Pte., Ltd
World Scientific Publishing
Subjects
Algorithms
Comparative studies
Computer simulation
Genetic algorithms
Noise levels
Noise measurement
optimization
Optimization algorithms
Particle swarm optimization
Research Article
Simulated annealing
Spatial light modulators
turbid media
Wave front shaping algorithms
Wave fronts
wavefront shaping
Wave front shaping algorithms
turbid media
wavefront shaping
optimization
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Summary: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.
ISSN:1793-5458
1793-7205
DOI:10.1142/S1793545819420021