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...

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Main Authors: Xian Yue, Yaliang Yang, Fei Xiao, Hao Dai, Chao Geng, Yudong Zhang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/14/4698
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author Xian Yue
Yaliang Yang
Fei Xiao
Hao Dai
Chao Geng
Yudong Zhang
author_facet Xian Yue
Yaliang Yang
Fei Xiao
Hao Dai
Chao Geng
Yudong Zhang
author_sort Xian Yue
collection DOAJ
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.
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spelling doaj.art-e7e6aa2a6dab411198d598d3b9c0f7972023-11-22T04:54:45ZengMDPI AGSensors1424-82202021-07-012114469810.3390/s21144698Optimization of Virtual Shack-Hartmann Wavefront SensingXian Yue0Yaliang Yang1Fei Xiao2Hao Dai3Chao Geng4Yudong Zhang5Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, ChinaVirtual 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.https://www.mdpi.com/1424-8220/21/14/4698wavefront sensingaberration measurementShack–Hartmann wavefront sensingdigital wavefront processingparameter optimization
spellingShingle Xian Yue
Yaliang Yang
Fei Xiao
Hao Dai
Chao Geng
Yudong Zhang
Optimization of Virtual Shack-Hartmann Wavefront Sensing
Sensors
wavefront sensing
aberration measurement
Shack–Hartmann wavefront sensing
digital wavefront processing
parameter optimization
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 wavefront sensing
aberration measurement
Shack–Hartmann wavefront sensing
digital wavefront processing
parameter optimization
url https://www.mdpi.com/1424-8220/21/14/4698
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AT yaliangyang optimizationofvirtualshackhartmannwavefrontsensing
AT feixiao optimizationofvirtualshackhartmannwavefrontsensing
AT haodai optimizationofvirtualshackhartmannwavefrontsensing
AT chaogeng optimizationofvirtualshackhartmannwavefrontsensing
AT yudongzhang optimizationofvirtualshackhartmannwavefrontsensing