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...
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Published in | Applied physics. B, Lasers and optics Vol. 130; no. 9; p. 166 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
01.01.2024
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Online Access | Get full text |
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Abstract | 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.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.The online version contains supplementary material available at 10.1007/s00340-024-08280-3.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00340-024-08280-3. |
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AbstractList | 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.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.The online version contains supplementary material available at 10.1007/s00340-024-08280-3.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00340-024-08280-3. |
Author | Li, Chen Ozcan, Aydogan Yılmaz, Hasan Gopinath, Shivasubramanian Horisaki, Ryoichi Choudhary, Sakshi Marzejon, Marcin J Sun, Jiasong Kravets, Vladislav Porfirev, Alexey P Narbutis, Donatas Cao, Liangcai Chen, Qian Rogalski, Mikołaj Zhou, Shun Alford, Simon Kner, Peter Vinu, R V Balasubramaniam, Ganesh M Bai, Bijie Ercan, Mert Oh, Jeonghun Ahluwalia, Balpreet S Zuo, Chao Liang, Jinyang Moodley, Chané Potcoava, Mariana Chen, Ziyang Ng, Soon Hock Juodkazis, Saulius Pu, Jixiong Rai, Mani Ratnam Manisha, Manisha Art, Jonathan Manavalan, Gokul Tahara, Tatsuki Mann, Christopher Volotovskiy, Sergey G Ahmad, Azeem Rosen, Joseph Morikawa, Junko Şener, Sarp Feykun Gocłowski, Paweł Arockiaraj, Francis Gracy Ierodiaconou, Daniel Li, Shaoheng Schelkens, Peter Mandal, Aditya Chandra De Aguiar, Hilton Barbosa Kumar, Ravi Greenbaum, Alon Shevkunov, Igor Egiazarian, Karen Dubey, Vishesh Arnon, Shlomi Ryu, Meguya Bisht, Nandan S Khonina, Svetlana N Gigan, Sylvain Singh, Rakesh K Trusiak, Maciej Katkovnik, Vladimir Blinder, David Lai, Yingming Gao, Yunhui Birnbaum, Tob |
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