Study of a Shack-Hartmann wavefront sensor with adjustable spatial sampling based on spherical reference wave

Wu, Xiuli; Huang, Linhai; Gu, Naiting; Tian, Huayu; Wei, Wenju

doi:10.1016/j.optlaseng.2022.107289

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The Shack-Hartmann wavefront sensor is one of the most widely used wavefront sensors because of its great energy utilization, fast real-time sensing, and strong anti-noise ability [1]. It is widely employed in the detection of human eye aberrations [2,3], astronomical observation [4,5], laser beam purification [6,7], optical element identification [8,9], and other fields.…”

Section: Introductionmentioning

confidence: 99%

Fast and Highly Accurate Zonal Wavefront Reconstruction from Multi-Directional Slope and Curvature Information Using Subregion Cancelation

Liu,

Zhong,

et al. 2024

Applied Sciences

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The wavefront reconstruction is a crucial step in determining the performance of wavefront detection instruments. The wavefront reconstruction algorithm is primarily evaluated in three dimensions: accuracy, speed, and noise immunity. In this paper, we propose a hybrid zonal reconstruction algorithm that introduces slope and curvature information in the diagonal, anti-diagonal, horizontal, and vertical directions by dividing the neighbor sampling points into subregions in groups of four. By canceling the same parameters in integration equations, an algorithm using multi-directional slope–curvature information is achieved with only two sets of integration equations in each subregion, reducing the processing time. Simulation experiments show that the relative root-mean-square reconstruction error of this algorithm is improved by about 4 orders of magnitude compared with existing algorithms that use multi-directional slope information or slope–curvature information alone. Compared with the hybrid multi-directional slope–curvature algorithm, the proposed algorithm can reduce computation time by about 50% as well as provide better noise immunity and reconstruction accuracy. Finally, the validity of the proposed algorithm is verified by the null test experiment.

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Section: Introductionmentioning

confidence: 99%

Fast and Highly Accurate Zonal Wavefront Reconstruction from Multi-Directional Slope and Curvature Information Using Subregion Cancelation

Liu,

Zhong,

et al. 2024

Applied Sciences

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show abstract

“…However, when the source is faint, very high spatial sampling rates not only reduce the spot intensity but also decrease the stability and accuracy of the reconstruction. [8,9] used MLA with lower spatial sampling rates, which caused the spatial resolution of the SHWFS to decrease. In recent years, a series of improvement methods have been proposed to improve the measurement performance of SHWFS at a low spatial sampling rate.…”

Section: Introductionmentioning

confidence: 99%

Higher-resolution wavefront sensing based on sub-wavefront information extraction

Guan,

Zhao,

Wang

et al. 2024

Front. Phys.

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The limited spatial sampling rates of conventional Shack–Hartmann wavefront sensors (SHWFSs) make them unable to sense higher-order wavefront distortion. In this study, by etching a known phase on each microlens to modulate sub-wavefront, we propose a higher-resolution wavefront reconstruction method that employs a modified modal Zernike wavefront reconstruction algorithm, in which the reconstruction matrix contains quadratic information that is extracted using a neural network. We validate this method through simulations, and the results show that once the network has been trained, for various atmospheric conditions and spatial sampling rates, the proposed method enables fast and accurate high-resolution wavefront reconstruction. Furthermore, it has highly competitive advantages such as fast dataset generation, simple network structure, and short prediction time.

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High refractive index chalcogenide polymer-based planar refractive microlens components

Liu,

Zhang,

Guo

et al. 2024

Optics and Lasers in Engineering

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Study of a Shack-Hartmann wavefront sensor with adjustable spatial sampling based on spherical reference wave

Cited by 4 publications

References 14 publications

Fast and Highly Accurate Zonal Wavefront Reconstruction from Multi-Directional Slope and Curvature Information Using Subregion Cancelation

Fast and Highly Accurate Zonal Wavefront Reconstruction from Multi-Directional Slope and Curvature Information Using Subregion Cancelation

Higher-resolution wavefront sensing based on sub-wavefront information extraction

High refractive index chalcogenide polymer-based planar refractive microlens components

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