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通过分析目标复波前来优化基于数字微镜器件的独立幅度和相位调制

Optimization of DMD-based independent amplitude and phase modulation by analysis of target complex wavefront.

作者信息

Georgieva Alexandra, Belashov Andrey V, Petrov Nikolay V

机构信息

Digital and Display Holography Laboratory, ITMO University, Kronverksky 49, St. Petersburg, 197101, Russia.

Ioffe Institute, 26 Politekhnicheskaya, St. Petersburg, 194021, Russia.

出版信息

Sci Rep. 2022 May 11;12(1):7754. doi: 10.1038/s41598-022-11443-x.

DOI:10.1038/s41598-022-11443-x
PMID:35546600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9095630/
Abstract

The paper presents the results of a comprehensive study on the optimization of independent amplitude and phase wavefront manipulation which is implemented using a binary digital micromirror device. The study aims to investigate the spatial resolution and quantization achievable using this approach and its optimization based on the parameters of the target complex wave and the modulation error estimation. Based on a statistical analysis of the data, an algorithm for selecting parameters (carrier frequency of binary pattern and aperture for the first diffraction order filtering) that ensures the optimal quality of the modulated wavefront was developed. The algorithm takes into account the type of modulation, that is, amplitude, phase, or amplitude-phase, the size of the encoded distribution, and its requirements for spatial resolution and quantization. The results of the study will greatly contribute to the improvement of modulated wavefront quality in various applications with different requirements for spatial resolution and quantization.

摘要

本文介绍了一项关于使用二元数字微镜器件实现独立幅度和相位波前操纵优化的综合研究结果。该研究旨在研究使用这种方法可实现的空间分辨率和量化,以及基于目标复波参数和调制误差估计对其进行的优化。基于对数据的统计分析,开发了一种选择参数(二元图案的载波频率和一阶衍射滤波孔径)的算法,以确保调制波前的最佳质量。该算法考虑了调制类型,即幅度、相位或幅度-相位,编码分布的大小及其对空间分辨率和量化的要求。该研究结果将极大地有助于在对空间分辨率和量化有不同要求的各种应用中提高调制波前的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/66d75f313441/41598_2022_11443_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/111a8fdec871/41598_2022_11443_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/3a534625ac7d/41598_2022_11443_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/a47d6893721b/41598_2022_11443_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/223fb045391c/41598_2022_11443_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/c2fa0d9e6e9b/41598_2022_11443_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/66d75f313441/41598_2022_11443_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/111a8fdec871/41598_2022_11443_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/3a534625ac7d/41598_2022_11443_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/a47d6893721b/41598_2022_11443_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/223fb045391c/41598_2022_11443_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/c2fa0d9e6e9b/41598_2022_11443_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc40/9095630/66d75f313441/41598_2022_11443_Fig6_HTML.jpg

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