Single-shot mid-infrared incoherent holography using Lucy-Richardson-Rosen algorithm

V. Anand, M. Han, J. Maksimovic, S. Ng, T. Katkus, Annaleise Klein, K. Bambery, M. Tobin, J. Vongsvivut, S. Juodkazis
{"title":"Single-shot mid-infrared incoherent holography using Lucy-Richardson-Rosen algorithm","authors":"V. Anand, M. Han, J. Maksimovic, S. Ng, T. Katkus, Annaleise Klein, K. Bambery, M. Tobin, J. Vongsvivut, S. Juodkazis","doi":"10.29026/oes.2022.210006","DOIUrl":null,"url":null,"abstract":"In recent years, there has been a significant transformation in the field of incoherent imaging with new possibilities of compressing three-dimensional (3D) information into a two-dimensional intensity distribution without two-beam interference (TBI). Most of the incoherent 3D imagers without TBI are based on scattering by a random phase mask exhibiting sharp autocorrelation and low cross-correlation along the depth. Consequently, during reconstruction, high lateral and axial resolutions are obtained. Imaging based on scattering requires an astronomical photon budget and is therefore precluded in many power-sensitive applications. In this study, a proof-of-concept 3D imaging method without TBI using deterministic fields has been demonstrated. A new reconstruction method called the Lucy-Richardson-Rosen algorithm has been developed for this imaging concept. We believe that the proposed approach will cause a paradigm-shift in the current state-of-the-art incoherent imaging, fluorescence microscopy, mid-infrared fingerprinting, astronomical imaging, and fast object recognition applications.","PeriodicalId":208845,"journal":{"name":"Opto-Electronic Science","volume":"42 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Opto-Electronic Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29026/oes.2022.210006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 40

Abstract

In recent years, there has been a significant transformation in the field of incoherent imaging with new possibilities of compressing three-dimensional (3D) information into a two-dimensional intensity distribution without two-beam interference (TBI). Most of the incoherent 3D imagers without TBI are based on scattering by a random phase mask exhibiting sharp autocorrelation and low cross-correlation along the depth. Consequently, during reconstruction, high lateral and axial resolutions are obtained. Imaging based on scattering requires an astronomical photon budget and is therefore precluded in many power-sensitive applications. In this study, a proof-of-concept 3D imaging method without TBI using deterministic fields has been demonstrated. A new reconstruction method called the Lucy-Richardson-Rosen algorithm has been developed for this imaging concept. We believe that the proposed approach will cause a paradigm-shift in the current state-of-the-art incoherent imaging, fluorescence microscopy, mid-infrared fingerprinting, astronomical imaging, and fast object recognition applications.
使用露西-理查森-罗森算法的单次中红外非相干全息成像
近年来,非相干成像领域发生了重大转变,将三维(3D)信息压缩成二维强度分布而没有双光束干涉(TBI)的新可能性。大多数无TBI的非相干三维成像仪都是基于随机相位掩模的散射,在深度上表现出明显的自相关和低互相关。因此,在重建过程中,获得了较高的横向和轴向分辨率。基于散射的成像需要天文光子预算,因此在许多功率敏感的应用中被排除在外。在这项研究中,一个概念验证的3D成像方法,没有TBI使用确定性场已被证明。一种新的重建方法被称为露西-理查森-罗森算法已经开发出这种成像概念。我们相信,所提出的方法将导致当前最先进的非相干成像、荧光显微镜、中红外指纹识别、天文成像和快速物体识别应用的范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信