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Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives

We present a scoring-based genetic algorithm (SBGA) for wavefront shaping to optimize multiple objectives at a time. The algorithm is able to find one feasible solution despite having to optimize multiple objectives. We employ the algorithm to generate multiple focus points simultaneously and alloca...

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Detalles Bibliográficos
Autores principales: Wang, Tianhong, Rumman, Nazifa, Bassène, Pascal, N’Gom, Moussa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963249/
https://www.ncbi.nlm.nih.gov/pubmed/36826968
http://dx.doi.org/10.3390/jimaging9020049
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author Wang, Tianhong
Rumman, Nazifa
Bassène, Pascal
N’Gom, Moussa
author_facet Wang, Tianhong
Rumman, Nazifa
Bassène, Pascal
N’Gom, Moussa
author_sort Wang, Tianhong
collection PubMed
description We present a scoring-based genetic algorithm (SBGA) for wavefront shaping to optimize multiple objectives at a time. The algorithm is able to find one feasible solution despite having to optimize multiple objectives. We employ the algorithm to generate multiple focus points simultaneously and allocate their intensities as desired. We then introduce a third objective to confine light focusing only to desired targets and prevent irradiation in neighboring regions. Through simulations and experiments, we demonstrate the algorithm’s ease of implementation and flexibility to control the search direction. This algorithm can potentially be applied to improve biomedical imaging, optogenetics, and optical trapping.
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spelling pubmed-99632492023-02-26 Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives Wang, Tianhong Rumman, Nazifa Bassène, Pascal N’Gom, Moussa J Imaging Article We present a scoring-based genetic algorithm (SBGA) for wavefront shaping to optimize multiple objectives at a time. The algorithm is able to find one feasible solution despite having to optimize multiple objectives. We employ the algorithm to generate multiple focus points simultaneously and allocate their intensities as desired. We then introduce a third objective to confine light focusing only to desired targets and prevent irradiation in neighboring regions. Through simulations and experiments, we demonstrate the algorithm’s ease of implementation and flexibility to control the search direction. This algorithm can potentially be applied to improve biomedical imaging, optogenetics, and optical trapping. MDPI 2023-02-18 /pmc/articles/PMC9963249/ /pubmed/36826968 http://dx.doi.org/10.3390/jimaging9020049 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Tianhong
Rumman, Nazifa
Bassène, Pascal
N’Gom, Moussa
Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives
title Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives
title_full Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives
title_fullStr Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives
title_full_unstemmed Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives
title_short Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives
title_sort scoring-based genetic algorithm for wavefront shaping to optimize multiple objectives
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963249/
https://www.ncbi.nlm.nih.gov/pubmed/36826968
http://dx.doi.org/10.3390/jimaging9020049
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