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Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm
It is very important for holographic optical tweezers (OTs) to develop high-quality phase holograms through calculation by using some computer algorithms, and one of the most commonly used algorithms is the Gerchberg–Saxton (GS) algorithm. An improved GS algorithm is proposed in the paper to further...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222435/ https://www.ncbi.nlm.nih.gov/pubmed/37241637 http://dx.doi.org/10.3390/mi14051014 |
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author | Zhou, Zhehai Hu, Guoqing Zhao, Shuang Li, Huiyu Zhang, Fan |
author_facet | Zhou, Zhehai Hu, Guoqing Zhao, Shuang Li, Huiyu Zhang, Fan |
author_sort | Zhou, Zhehai |
collection | PubMed |
description | It is very important for holographic optical tweezers (OTs) to develop high-quality phase holograms through calculation by using some computer algorithms, and one of the most commonly used algorithms is the Gerchberg–Saxton (GS) algorithm. An improved GS algorithm is proposed in the paper to further enhance the capacities of holographic OTs, which can improve the calculation efficiencies compared with the traditional GS algorithm. The basic principle of the improved GS algorithm is first introduced, and then theoretical and experimental results are presented. A holographic OT is built by using a spatial light modulator (SLM), and the desired phase that is calculated by the improved GS algorithm is loaded onto the SLM to obtain expected optical traps. For the same sum of squares due to error SSE and fitting coefficient η, the iterative number from using the improved GS algorithm is smaller than that from using traditional GS algorithm, and the iteration speed is faster about 27%. Multi-particle trapping is first achieved, and dynamic multiple-particle rotation is further demonstrated, in which multiple changing hologram images are obtained continuously through the improved GS algorithm. The manipulation speed is faster than that from using the traditional GS algorithm. The iterative speed can be further improved if the computer capacities are further optimized. |
format | Online Article Text |
id | pubmed-10222435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102224352023-05-28 Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm Zhou, Zhehai Hu, Guoqing Zhao, Shuang Li, Huiyu Zhang, Fan Micromachines (Basel) Article It is very important for holographic optical tweezers (OTs) to develop high-quality phase holograms through calculation by using some computer algorithms, and one of the most commonly used algorithms is the Gerchberg–Saxton (GS) algorithm. An improved GS algorithm is proposed in the paper to further enhance the capacities of holographic OTs, which can improve the calculation efficiencies compared with the traditional GS algorithm. The basic principle of the improved GS algorithm is first introduced, and then theoretical and experimental results are presented. A holographic OT is built by using a spatial light modulator (SLM), and the desired phase that is calculated by the improved GS algorithm is loaded onto the SLM to obtain expected optical traps. For the same sum of squares due to error SSE and fitting coefficient η, the iterative number from using the improved GS algorithm is smaller than that from using traditional GS algorithm, and the iteration speed is faster about 27%. Multi-particle trapping is first achieved, and dynamic multiple-particle rotation is further demonstrated, in which multiple changing hologram images are obtained continuously through the improved GS algorithm. The manipulation speed is faster than that from using the traditional GS algorithm. The iterative speed can be further improved if the computer capacities are further optimized. MDPI 2023-05-09 /pmc/articles/PMC10222435/ /pubmed/37241637 http://dx.doi.org/10.3390/mi14051014 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 Zhou, Zhehai Hu, Guoqing Zhao, Shuang Li, Huiyu Zhang, Fan Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm |
title | Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm |
title_full | Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm |
title_fullStr | Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm |
title_full_unstemmed | Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm |
title_short | Holographic Optical Tweezers That Use an Improved Gerchberg–Saxton Algorithm |
title_sort | holographic optical tweezers that use an improved gerchberg–saxton algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222435/ https://www.ncbi.nlm.nih.gov/pubmed/37241637 http://dx.doi.org/10.3390/mi14051014 |
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