Adaptive Detection of Wave Aberrations Based on the Multichannel Filter

Khorin, Pavel A.; Porfirev, Alexey P.; Хонина, С. Н.

doi:10.3390/photonics9030204

Cited by 11 publications

(6 citation statements)

References 47 publications

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“…In contrast to the expansion in terms of the Zernike function basis, which provides correct detection of only small aberrations (up to 0.4 wavelength λ), the proposed approach removes the limitation on the aberration value. The correct detection up to the wavelength λ has been confirmed numerically and experimentally) [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 74%

Simulation of the Human Myopic Eye Cornea Compensation Based on the Analysis of Aberrometric Data

Khorin

Хонина

2023

Vision

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Various diffractive, refractive and holographic optical elements, such as diffraction gratings; microlens raster; phase plates; multi-order diffractive optical elements; adaptive mirrors; diffractive and refractive axicons; holographic multiplexes and many others are used to analyze wavefront aberrations. We shortly discuss the features (advantages and disadvantages) of various wavefront aberration sensors in the Introduction. The main part of the paper is devoted to the analysis of the weight coefficients of Zernike polynomials obtained during medical examinations of the cornea in the human eye. Using data obtained by aberrometers, the average values of the Zernike polynomial coefficients for the anterior and posterior surfaces of the healthy eye cornea and a myopic one were calculated. The original wavefront for the anterior and posterior surfaces of the cornea was restored separately, as well as the total wave aberration. For an objective assessment of the quality of vision, the corresponding point spread functions (PSFs) were calculated. We propose to compensate for the aberrations of the myopic eye, taking into account the physical features of the corneal surface. The results of numerical simulation showed that in order to improve the quality of the patient’s vision, it is necessary to take into account high-order aberrations of the anterior surface of the cornea in the form of a coma of the third order and aberrations of the fourth order.

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Section: Introductionmentioning

confidence: 74%

Simulation of the Human Myopic Eye Cornea Compensation Based on the Analysis of Aberrometric Data

Khorin

Хонина

2023

Vision

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“…Despite the advent of dynamically controlled SLMs, the use of DOEs in Fourier correlators remains relevant in high-energy applications [29] since they have a significantly higher damage threshold than SLM. Soifer et al have designed a multichannel spatial optical that allows coherent light fields to be optically decomposed into a series of orthogonal functions: using angular harmonics to calculate the light field's angular momentum [30][31][32][33][34], detection and analysis of wavefront aberrations using Zernike polynomials [35][36][37][38][39], and using the optical Karhunen-Loeve decomposition, we may derive decorrelated image characteristics [40,41]. Relying on segmented spatial filters in the sequence of diffraction gratings, an optical approach for producing a directions field for fringed/contour pictures such as interferograms and fingerprints has been established [42][43][44][45].…”

Section: Spatial Light Modulator (Slm)mentioning

confidence: 99%

Optical Computing: Status and Perspectives

2022

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For many years, optics has been employed in computing, although the major focus has been and remains to be on connecting parts of computers, for communications, or more fundamentally in systems that have some optical function or element (optical pattern recognition, etc.). Optical digital computers are still evolving; however, a variety of components that can eventually lead to true optical computers, such as optical logic gates, optical switches, neural networks, and spatial light modulators have previously been developed and are discussed in this paper. High-performance off-the-shelf computers can accurately simulate and construct more complicated photonic devices and systems. These advancements have developed under unusual circumstances: photonics is an emerging tool for the next generation of computing hardware, while recent advances in digital computers have empowered the design, modeling, and creation of a new class of photonic devices and systems with unparalleled challenges. Thus, the review of the status and perspectives shows that optical technology offers incredible developments in computational efficiency; however, only separately implemented optical operations are known so far, and the launch of the world’s first commercial optical processing system was only recently announced. Most likely, the optical computer has not been put into mass production because there are still no good solutions for optical transistors, optical memory, and much more that acceptance to break the huge inertia of many proven technologies in electronics.

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“…Because determining the system’s aberration function properly and quickly is essential to the function of adaptive optics systems, numerous techniques have been devised to accomplish this. In more traditional methods, the aberration function can be directly measured using wavefront sensors like the Shack–Hartmann wavefront sensor [ 1 , 2 ], the curvature wavefront sensor [ 3 ], and the shearing interferometer [ 4 ] multi-order diffractive optical element [ 5 , 6 , 7 ]. These wavefront sensors that rely on complex specialized optical hardware devices have the advantages of high precision and good stability.…”

Section: Introductionmentioning

confidence: 99%

Using Diffraction Deep Neural Networks for Indirect Phase Recovery Based on Zernike Polynomials

Yuan,

Sun,

Han

et al. 2024

Sensors

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The phase recovery module is dedicated to acquiring phase distribution information within imaging systems, enabling the monitoring and adjustment of a system’s performance. Traditional phase inversion techniques exhibit limitations, such as the speed of the sensor and complexity of the system. Therefore, we propose an indirect phase retrieval approach based on a diffraction neural network. By utilizing non-source diffraction through multiple layers of diffraction units, this approach reconstructs coefficients based on Zernike polynomials from incident beams with distorted phases, thereby indirectly synthesizing interference phases. Through network training and simulation testing, we validate the effectiveness of this approach, showcasing the trained network’s capacity for single-order phase recognition and multi-order composite phase inversion. We conduct an analysis of the network’s generalization and evaluate the impact of the network depth on the restoration accuracy. The test results reveal an average root mean square error of 0.086λ for phase inversion. This research provides new insights and methodologies for the development of the phase recovery component in adaptive optics systems.

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Adaptive Detection of Wave Aberrations Based on the Multichannel Filter

Cited by 11 publications

References 47 publications

Simulation of the Human Myopic Eye Cornea Compensation Based on the Analysis of Aberrometric Data

Simulation of the Human Myopic Eye Cornea Compensation Based on the Analysis of Aberrometric Data

Optical Computing: Status and Perspectives

Using Diffraction Deep Neural Networks for Indirect Phase Recovery Based on Zernike Polynomials

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