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Optimization of Virtual Shack-Hartmann Wavefront Sensing
Virtual Shack–Hartmann wavefront sensing (vSHWS) can flexibly adjust parameters to meet different requirements without changing the system, and it is a promising means for aberration measurement. However, how to optimize its parameters to achieve the best performance is rarely discussed. In this wor...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309488/ https://www.ncbi.nlm.nih.gov/pubmed/34300438 http://dx.doi.org/10.3390/s21144698 |
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author | Yue, Xian Yang, Yaliang Xiao, Fei Dai, Hao Geng, Chao Zhang, Yudong |
author_facet | Yue, Xian Yang, Yaliang Xiao, Fei Dai, Hao Geng, Chao Zhang, Yudong |
author_sort | Yue, Xian |
collection | PubMed |
description | Virtual Shack–Hartmann wavefront sensing (vSHWS) can flexibly adjust parameters to meet different requirements without changing the system, and it is a promising means for aberration measurement. However, how to optimize its parameters to achieve the best performance is rarely discussed. In this work, the data processing procedure and methods of vSHWS were demonstrated by using a set of normal human ocular aberrations as an example. The shapes (round and square) of a virtual lenslet, the zero-padding of the sub-aperture electric field, sub-aperture number, as well as the sequences (before and after diffraction calculation), algorithms, and interval of data interpolation, were analyzed to find the optimal configuration. The effect of the above optimizations on its anti-noise performance was also studied. The Zernike coefficient errors and the root mean square of the wavefront error between the reconstructed and preset wavefronts were used for performance evaluation. The performance of the optimized vSHWS could be significantly improved compared to that of a non-optimized one, which was also verified with 20 sets of clinical human ocular aberrations. This work makes the vSHWS’s implementation clearer, and the optimization methods and the obtained results are of great significance for its applications. |
format | Online Article Text |
id | pubmed-8309488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83094882021-07-25 Optimization of Virtual Shack-Hartmann Wavefront Sensing Yue, Xian Yang, Yaliang Xiao, Fei Dai, Hao Geng, Chao Zhang, Yudong Sensors (Basel) Article Virtual Shack–Hartmann wavefront sensing (vSHWS) can flexibly adjust parameters to meet different requirements without changing the system, and it is a promising means for aberration measurement. However, how to optimize its parameters to achieve the best performance is rarely discussed. In this work, the data processing procedure and methods of vSHWS were demonstrated by using a set of normal human ocular aberrations as an example. The shapes (round and square) of a virtual lenslet, the zero-padding of the sub-aperture electric field, sub-aperture number, as well as the sequences (before and after diffraction calculation), algorithms, and interval of data interpolation, were analyzed to find the optimal configuration. The effect of the above optimizations on its anti-noise performance was also studied. The Zernike coefficient errors and the root mean square of the wavefront error between the reconstructed and preset wavefronts were used for performance evaluation. The performance of the optimized vSHWS could be significantly improved compared to that of a non-optimized one, which was also verified with 20 sets of clinical human ocular aberrations. This work makes the vSHWS’s implementation clearer, and the optimization methods and the obtained results are of great significance for its applications. MDPI 2021-07-09 /pmc/articles/PMC8309488/ /pubmed/34300438 http://dx.doi.org/10.3390/s21144698 Text en © 2021 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 Yue, Xian Yang, Yaliang Xiao, Fei Dai, Hao Geng, Chao Zhang, Yudong Optimization of Virtual Shack-Hartmann Wavefront Sensing |
title | Optimization of Virtual Shack-Hartmann Wavefront Sensing |
title_full | Optimization of Virtual Shack-Hartmann Wavefront Sensing |
title_fullStr | Optimization of Virtual Shack-Hartmann Wavefront Sensing |
title_full_unstemmed | Optimization of Virtual Shack-Hartmann Wavefront Sensing |
title_short | Optimization of Virtual Shack-Hartmann Wavefront Sensing |
title_sort | optimization of virtual shack-hartmann wavefront sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309488/ https://www.ncbi.nlm.nih.gov/pubmed/34300438 http://dx.doi.org/10.3390/s21144698 |
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