Reconstructing wavefront phase from measurements of its slope, an adaptive neural network based approach

Ceruso, Sabato; Bonaque-González, Sergio; Ríos, Alicia; Carmona-Ballester, David; Trujillo-Sevilla, Juan M.

doi:10.1016/j.optlaseng.2019.105906

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Finally, numerical integration is required to obtain the phase map from its derivatives. In our case, we use the algorithm developed by Talmi and Ribak 19 ; however, very similar results can be obtained using other methods 20 .…”

Section: Methodsmentioning

confidence: 79%

The optics of the human eye at 8.6 µm resolution

Bonaque-González

Trujillo-Sevilla

Velasco-Ocaña

et al. 2021

Sci Rep

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Ocular optics is normally estimated based on up to 2,600 measurement points within the pupil of the eye, which implies a lateral resolution of approximately 175 µm for a 9 mm pupil diameter. This is because information below this resolution is not thought to be relevant or even possible to obtain with current measurement systems. In this work, we characterize the in vivo ocular optics of the human eye with a lateral resolution of 8.6 µm, which implies roughly 1 million measurement points for a pupil diameter of 9 mm. The results suggest that the normal human eye presents a series of hitherto unknown optical patterns with amplitudes between 200 and 300 nm and is made up of a series of in-phase peaks and valleys. If the results are analysed at only high lateral frequencies, the human eye is also found to contain a whole range of new information. This discovery could have a great impact on the way we understand some fundamental mechanisms of human vision and could be of outstanding utility in certain fields of ophthalmology.

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Section: Methodsmentioning

confidence: 79%

The optics of the human eye at 8.6 µm resolution

Bonaque-González

Trujillo-Sevilla

Velasco-Ocaña

et al. 2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Finally, numerical integration is required to obtain the phase map from its derivatives. In our case, we use the algorithm developed by Talmi & Ribal [19]; however, very similar results can be obtained using other methods [20].…”

Section: Methodsmentioning

confidence: 99%

The optics of the human eye at 8.6 µm lateral resolution

Bonaque-González

Velasco-Ocaña

et al. 2021

Preprint

Self Cite

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Ocular optics is normally estimated based on 2,600 measurement points within the pupil of the eye, which implies a lateral resolution of approximately 175 microns for a 9 mm pupil diameter. This is because information below this resolution is not thought to be relevant or even possible to obtain with current measurement systems. In this work, we characterize the in vivo ocular optics of the human eye with a lateral resolution of 8.6 microns, which implies roughly 1 million measurement points for a pupil diameter of 9 mm. The results suggest that the normal human eye presents a series of hitherto unknown optical patterns with amplitudes between 200 and 300 nm and is made up of a series of in-phase peaks and valleys. If the results are analysed at only high lateral frequencies, the human eye is also found to contain a whole range of new information. This discovery could have a great impact on the way we understand some fundamental mechanisms of human vision and could be of outstanding utility in certain fields of ophthalmology.

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“…Apart from adding new devices, monoscopic phase measuring deflectometry (MPMD) systems can fulfill the specular surface shape measurement by introducing a reference surface [19][20][21][22][23][24][25]. The reference surface is used as RP to calculate the slopes.…”

Section: Introductionmentioning

confidence: 99%

A deep learning-based approach to solve the height-slope ambiguity in phase measuring deflectometry

Fan¹,

Ma²,

Li³

et al. 2023

Meas. Sci. Technol.

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Phase measuring deflectometry (PMD) shows excellent performance in measuring the shape of specular surfaces. However, the existing height-slope ambiguity affects the measurement of PMD. In this paper, we propose a deep learning-based method to solve the ambiguity and reconstruct the specular surface. A neural network was built to reconstruct the surface. A set of simulation surfaces were generated using two-dimensional Legendre polynomials to train and test the network. A spherical-shaped surface was reconstructed in a simulation to evaluate the validity of the proposed method and compare our method to the state-of-the-art method. Experimental results demonstrate a 35.88% improvement in this method’s accuracy. Our method provides a great improvement in measurement accuracy.

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Reconstructing wavefront phase from measurements of its slope, an adaptive neural network based approach

Cited by 6 publications

References 13 publications

The optics of the human eye at 8.6 µm resolution

The optics of the human eye at 8.6 µm resolution

The optics of the human eye at 8.6 µm lateral resolution

A deep learning-based approach to solve the height-slope ambiguity in phase measuring deflectometry

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