光学成像和全息摄影计算方法路线图[特邀]。

IF 2 3区 物理与天体物理 Q3 OPTICS Applied Physics B Pub Date : 2024-08-29 DOI:10.1007/s00340-024-08280-3
Joseph Rosen, Simon Alford, Blake Allan, Vijayakumar Anand, Shlomi Arnon, Francis Gracy Arockiaraj, Jonathan Art, Bijie Bai, Ganesh M. Balasubramaniam, Tobias Birnbaum, Nandan S. Bisht, David Blinder, Liangcai Cao, Qian Chen, Ziyang Chen, Vishesh Dubey, Karen Egiazarian, Mert Ercan, Andrew Forbes, G. Gopakumar, Yunhui Gao, Sylvain Gigan, Paweł Gocłowski, Shivasubramanian Gopinath, Alon Greenbaum, Ryoichi Horisaki, Daniel Ierodiaconou, Saulius Juodkazis, Tanushree Karmakar, Vladimir Katkovnik, Svetlana N. Khonina, Peter Kner, Vladislav Kravets, Ravi Kumar, Yingming Lai, Chen Li, Jiaji Li, Shaoheng Li, Yuzhu Li, Jinyang Liang, Gokul Manavalan, Aditya Chandra Mandal, Manisha Manisha, Christopher Mann, Marcin J. Marzejon, Chané Moodley, Junko Morikawa, Inbarasan Muniraj, Donatas Narbutis, Soon Hock Ng, Fazilah Nothlawala, Jeonghun Oh, Aydogan Ozcan, YongKeun Park, Alexey P. Porfirev, Mariana Potcoava, Shashi Prabhakar, Jixiong Pu, Mani Ratnam Rai, Mikołaj Rogalski, Meguya Ryu, Sakshi Choudhary, Gangi Reddy Salla, Peter Schelkens, Sarp Feykun Şener, Igor Shevkunov, Tomoyoshi Shimobaba, Rakesh K. Singh, Ravindra P. Singh, Adrian Stern, Jiasong Sun, Shun Zhou, Chao Zuo, Zack Zurawski, Tatsuki Tahara, Vipin Tiwari, Maciej Trusiak, R. V. Vinu, Sergey G. Volotovskiy, Hasan Yılmaz, Hilton Barbosa De Aguiar, Balpreet S. Ahluwalia, Azeem Ahmad
{"title":"光学成像和全息摄影计算方法路线图[特邀]。","authors":"Joseph Rosen,&nbsp;Simon Alford,&nbsp;Blake Allan,&nbsp;Vijayakumar Anand,&nbsp;Shlomi Arnon,&nbsp;Francis Gracy Arockiaraj,&nbsp;Jonathan Art,&nbsp;Bijie Bai,&nbsp;Ganesh M. Balasubramaniam,&nbsp;Tobias Birnbaum,&nbsp;Nandan S. Bisht,&nbsp;David Blinder,&nbsp;Liangcai Cao,&nbsp;Qian Chen,&nbsp;Ziyang Chen,&nbsp;Vishesh Dubey,&nbsp;Karen Egiazarian,&nbsp;Mert Ercan,&nbsp;Andrew Forbes,&nbsp;G. Gopakumar,&nbsp;Yunhui Gao,&nbsp;Sylvain Gigan,&nbsp;Paweł Gocłowski,&nbsp;Shivasubramanian Gopinath,&nbsp;Alon Greenbaum,&nbsp;Ryoichi Horisaki,&nbsp;Daniel Ierodiaconou,&nbsp;Saulius Juodkazis,&nbsp;Tanushree Karmakar,&nbsp;Vladimir Katkovnik,&nbsp;Svetlana N. Khonina,&nbsp;Peter Kner,&nbsp;Vladislav Kravets,&nbsp;Ravi Kumar,&nbsp;Yingming Lai,&nbsp;Chen Li,&nbsp;Jiaji Li,&nbsp;Shaoheng Li,&nbsp;Yuzhu Li,&nbsp;Jinyang Liang,&nbsp;Gokul Manavalan,&nbsp;Aditya Chandra Mandal,&nbsp;Manisha Manisha,&nbsp;Christopher Mann,&nbsp;Marcin J. Marzejon,&nbsp;Chané Moodley,&nbsp;Junko Morikawa,&nbsp;Inbarasan Muniraj,&nbsp;Donatas Narbutis,&nbsp;Soon Hock Ng,&nbsp;Fazilah Nothlawala,&nbsp;Jeonghun Oh,&nbsp;Aydogan Ozcan,&nbsp;YongKeun Park,&nbsp;Alexey P. Porfirev,&nbsp;Mariana Potcoava,&nbsp;Shashi Prabhakar,&nbsp;Jixiong Pu,&nbsp;Mani Ratnam Rai,&nbsp;Mikołaj Rogalski,&nbsp;Meguya Ryu,&nbsp;Sakshi Choudhary,&nbsp;Gangi Reddy Salla,&nbsp;Peter Schelkens,&nbsp;Sarp Feykun Şener,&nbsp;Igor Shevkunov,&nbsp;Tomoyoshi Shimobaba,&nbsp;Rakesh K. Singh,&nbsp;Ravindra P. Singh,&nbsp;Adrian Stern,&nbsp;Jiasong Sun,&nbsp;Shun Zhou,&nbsp;Chao Zuo,&nbsp;Zack Zurawski,&nbsp;Tatsuki Tahara,&nbsp;Vipin Tiwari,&nbsp;Maciej Trusiak,&nbsp;R. V. Vinu,&nbsp;Sergey G. Volotovskiy,&nbsp;Hasan Yılmaz,&nbsp;Hilton Barbosa De Aguiar,&nbsp;Balpreet S. Ahluwalia,&nbsp;Azeem Ahmad","doi":"10.1007/s00340-024-08280-3","DOIUrl":null,"url":null,"abstract":"<div><p>Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging. In addition to registering the perspectives of the modern-day architects of the above research areas, the roadmap also reports some of the latest studies on the topic. Computational codes and pseudocodes are presented for computational methods in a plug-and-play fashion for readers to not only read and understand but also practice the latest algorithms with their data. We believe that this roadmap will be a valuable tool for analyzing the current trends in computational methods to predict and prepare the future of computational methods in optical imaging and holography.</p></div>","PeriodicalId":474,"journal":{"name":"Applied Physics B","volume":"130 9","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362238/pdf/","citationCount":"0","resultStr":"{\"title\":\"Roadmap on computational methods in optical imaging and holography [invited]\",\"authors\":\"Joseph Rosen,&nbsp;Simon Alford,&nbsp;Blake Allan,&nbsp;Vijayakumar Anand,&nbsp;Shlomi Arnon,&nbsp;Francis Gracy Arockiaraj,&nbsp;Jonathan Art,&nbsp;Bijie Bai,&nbsp;Ganesh M. Balasubramaniam,&nbsp;Tobias Birnbaum,&nbsp;Nandan S. Bisht,&nbsp;David Blinder,&nbsp;Liangcai Cao,&nbsp;Qian Chen,&nbsp;Ziyang Chen,&nbsp;Vishesh Dubey,&nbsp;Karen Egiazarian,&nbsp;Mert Ercan,&nbsp;Andrew Forbes,&nbsp;G. Gopakumar,&nbsp;Yunhui Gao,&nbsp;Sylvain Gigan,&nbsp;Paweł Gocłowski,&nbsp;Shivasubramanian Gopinath,&nbsp;Alon Greenbaum,&nbsp;Ryoichi Horisaki,&nbsp;Daniel Ierodiaconou,&nbsp;Saulius Juodkazis,&nbsp;Tanushree Karmakar,&nbsp;Vladimir Katkovnik,&nbsp;Svetlana N. Khonina,&nbsp;Peter Kner,&nbsp;Vladislav Kravets,&nbsp;Ravi Kumar,&nbsp;Yingming Lai,&nbsp;Chen Li,&nbsp;Jiaji Li,&nbsp;Shaoheng Li,&nbsp;Yuzhu Li,&nbsp;Jinyang Liang,&nbsp;Gokul Manavalan,&nbsp;Aditya Chandra Mandal,&nbsp;Manisha Manisha,&nbsp;Christopher Mann,&nbsp;Marcin J. Marzejon,&nbsp;Chané Moodley,&nbsp;Junko Morikawa,&nbsp;Inbarasan Muniraj,&nbsp;Donatas Narbutis,&nbsp;Soon Hock Ng,&nbsp;Fazilah Nothlawala,&nbsp;Jeonghun Oh,&nbsp;Aydogan Ozcan,&nbsp;YongKeun Park,&nbsp;Alexey P. Porfirev,&nbsp;Mariana Potcoava,&nbsp;Shashi Prabhakar,&nbsp;Jixiong Pu,&nbsp;Mani Ratnam Rai,&nbsp;Mikołaj Rogalski,&nbsp;Meguya Ryu,&nbsp;Sakshi Choudhary,&nbsp;Gangi Reddy Salla,&nbsp;Peter Schelkens,&nbsp;Sarp Feykun Şener,&nbsp;Igor Shevkunov,&nbsp;Tomoyoshi Shimobaba,&nbsp;Rakesh K. Singh,&nbsp;Ravindra P. Singh,&nbsp;Adrian Stern,&nbsp;Jiasong Sun,&nbsp;Shun Zhou,&nbsp;Chao Zuo,&nbsp;Zack Zurawski,&nbsp;Tatsuki Tahara,&nbsp;Vipin Tiwari,&nbsp;Maciej Trusiak,&nbsp;R. V. Vinu,&nbsp;Sergey G. Volotovskiy,&nbsp;Hasan Yılmaz,&nbsp;Hilton Barbosa De Aguiar,&nbsp;Balpreet S. Ahluwalia,&nbsp;Azeem Ahmad\",\"doi\":\"10.1007/s00340-024-08280-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging. In addition to registering the perspectives of the modern-day architects of the above research areas, the roadmap also reports some of the latest studies on the topic. Computational codes and pseudocodes are presented for computational methods in a plug-and-play fashion for readers to not only read and understand but also practice the latest algorithms with their data. We believe that this roadmap will be a valuable tool for analyzing the current trends in computational methods to predict and prepare the future of computational methods in optical imaging and holography.</p></div>\",\"PeriodicalId\":474,\"journal\":{\"name\":\"Applied Physics B\",\"volume\":\"130 9\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362238/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Physics B\",\"FirstCategoryId\":\"4\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00340-024-08280-3\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Physics B","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1007/s00340-024-08280-3","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

摘要

近年来,计算方法已成为光学成像和全息技术的基石。每年,光学成像和全息术对计算方法的依赖程度都在显著增加,以至于光学方法和组件正在被低成本、高效率的计算方法完全取代。本路线图回顾了非相干数字全息、定量相位成像、通过散射层成像和超分辨率成像四大领域的现状。除了记录上述研究领域现代建筑师的观点外,路线图还报告了有关该主题的一些最新研究。本书以即插即用的方式介绍了计算方法的计算代码和伪代码,读者不仅可以阅读和理解,还可以利用自己的数据实践最新算法。我们相信,这份路线图将成为分析当前计算方法发展趋势的宝贵工具,为光学成像和全息技术计算方法的未来发展做好预测和准备:在线版本包含补充材料,可查阅 10.1007/s00340-024-08280-3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Roadmap on computational methods in optical imaging and holography [invited]

Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging. In addition to registering the perspectives of the modern-day architects of the above research areas, the roadmap also reports some of the latest studies on the topic. Computational codes and pseudocodes are presented for computational methods in a plug-and-play fashion for readers to not only read and understand but also practice the latest algorithms with their data. We believe that this roadmap will be a valuable tool for analyzing the current trends in computational methods to predict and prepare the future of computational methods in optical imaging and holography.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Applied Physics B
Applied Physics B 物理-光学
CiteScore
4.00
自引率
4.80%
发文量
202
审稿时长
3.0 months
期刊介绍: Features publication of experimental and theoretical investigations in applied physics Offers invited reviews in addition to regular papers Coverage includes laser physics, linear and nonlinear optics, ultrafast phenomena, photonic devices, optical and laser materials, quantum optics, laser spectroscopy of atoms, molecules and clusters, and more 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again Publishing essential research results in two of the most important areas of applied physics, both Applied Physics sections figure among the top most cited journals in this field. In addition to regular papers Applied Physics B: Lasers and Optics features invited reviews. Fields of topical interest are covered by feature issues. The journal also includes a rapid communication section for the speedy publication of important and particularly interesting results.
期刊最新文献
Combination dual-tapered fiber with band-pass filter in generating multi-wavelength Er3+-doped fiber laser Study on properties of microcavity resonance of AlGaInP based hexagonal photonic crystal Semiconductor nanostructured metamaterial for tunable enhanced absorption Multifunctional manipulations of full-space terahertz beams based on liquid-crystal-integrated multi-bit programmable metasurface Raman-induced wavelength shift in chalcogenide microstructure fiber: temperature sensing and machine learning analysis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1