Analysis of the wavefront aberrations based on neural networks processing of the interferograms with a conical reference beam

Хонина, С. Н.; Khorin, Pavel A.; Serafimovich, P. G.; Dzyuba, Alexey P.; Georgieva, Alexandra; Petrov, Nikolay V.

doi:10.1007/s00340-022-07778-y

Cited by 13 publications

(6 citation statements)

References 95 publications

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“…Moreover, this method allows for one to obtain much more information at a single detection, which can be useful in the analysis of intensity patterns by means of data mining and convolutional neural networks [ 72 , 73 , 74 , 75 , 76 ].…”

Section: Discussionmentioning

confidence: 99%

Simplifying the Experimental Detection of the Vortex Topological Charge Based on the Simultaneous Astigmatic Transformation of Several Types and Levels in the Same Focal Plane

Khorin

Хонина

Porfirev

et al. 2022

Sensors

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It is known that the astigmatic transformation can be used to analyze the topological charge of a vortex beam, which can be implemented by using various optical methods. In this case, in order to form an astigmatic beam pattern suitable for the clear detection of a topological charge, an optical adjustment is often required (changing the lens tilt and/or the detection distance). In this article, we propose to use multi-channel diffractive optical elements (DOEs) for the simultaneous implementation of the astigmatic transformations of various types and levels. Such multi-channel DOEs make it possible to insert several types of astigmatic aberrations of different levels into the analyzed vortex beam simultaneously, and to form a set of aberration-transformed beam patterns in different diffraction orders in one detection plane. The proposed approach greatly simplifies the analysis of the characteristics of a vortex beam based on measurements in the single plane without additional adjustments. In this article, a detailed study of the effect of various types of astigmatic aberrations based on a numerical simulation and experiments was carried out, which confirmed the effectiveness of the proposed approach.

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Section: Discussionmentioning

confidence: 99%

Simplifying the Experimental Detection of the Vortex Topological Charge Based on the Simultaneous Astigmatic Transformation of Several Types and Levels in the Same Focal Plane

Khorin

Хонина

Porfirev

et al. 2022

Sensors

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“…Concurrently, various evolving applications, such as resolving nonlinear optimization problems and processing multichannel GHz analog signals in real time, are seeking innovative computing platforms to fulfill their computational needs [ 22 ]. These advancements illuminated fresh opportunities and pathways for advancing PNNs [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring Types of Photonic Neural Networks for Imaging and Computing—A Review

Khonina,

Kazanskiy,

Skidanov

et al. 2024

Nanomaterials

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Photonic neural networks (PNNs), utilizing light-based technologies, show immense potential in artificial intelligence (AI) and computing. Compared to traditional electronic neural networks, they offer faster processing speeds, lower energy usage, and improved parallelism. Leveraging light’s properties for information processing could revolutionize diverse applications, including complex calculations and advanced machine learning (ML). Furthermore, these networks could address scalability and efficiency challenges in large-scale AI systems, potentially reshaping the future of computing and AI research. In this comprehensive review, we provide current, cutting-edge insights into diverse types of PNNs crafted for both imaging and computing purposes. Additionally, we delve into the intricate challenges they encounter during implementation, while also illuminating the promising perspectives they introduce to the field.

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“…The accuracy of interferometers, especially heterodyne ones, exceeds λ/100. In addition, taking into account the use of data mining and neural networks [ 3 , 4 ], the wavefront of a light field can be reconstructed from an interferogram with a reference beam of a given shape using both a diffractive and refractive optical element (in particular, a diffraction grating for forming a linear interferogram, a lens for spherical, axicon for conical) [ 5 , 6 ]. Disadvantages of interferometry are well known-they include the sensitivity of the measuring equipment to vibrations, as well as the need for the physical presence of a reference wavefront.…”

Section: Introductionmentioning

confidence: 99%

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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Analysis of the wavefront aberrations based on neural networks processing of the interferograms with a conical reference beam

Cited by 13 publications

References 95 publications

Simplifying the Experimental Detection of the Vortex Topological Charge Based on the Simultaneous Astigmatic Transformation of Several Types and Levels in the Same Focal Plane

Simplifying the Experimental Detection of the Vortex Topological Charge Based on the Simultaneous Astigmatic Transformation of Several Types and Levels in the Same Focal Plane

Exploring Types of Photonic Neural Networks for Imaging and Computing—A Review

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

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