Roadmap on computational methods in optical imaging and holography, Soon Hock Ng, Fazilah Nothlawala, Jeonghun Oh, Aydogan Ozcan, Yongkeun Park, Alexey P. Porfirev, Mariana Potcoava, Sashi Prabhakar, Jixiong Pu, Mani Ratnam Rai, Mikolaj Rogalski, Meguya Ryu, Sakshi Choudhary, Gangi Reddy Salla, 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 Yilmaz, Hilton Barbosa De Aguiar, Balpreet S. Ahluwalia, Azeem Ahmad
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.
Roadmap on computational methods in optical imaging and holography, Hock Ng, S, Nothlawala, F, Oh, J, Ozcan, A, Park, Y, Porfirev, AP, Potcoava, M, Prabhakar, S, Pu, J, Ratnam Rai, M, Rogalski, M, Ryu, M, Choudhary, S, Reddy Salla, G, Feykun Şener, S, Shevkunov, I, Shimobaba, T, Singh, RK, Singh, RP, Stern, A, Sun, J, Zhou, S, Zuo, C, Zurawski, Z, Tahara, T, Tiwari, V, Trusiak, M, Vinu, RV, Volotovskiy, SG, Yilmaz, H, Barbosa De Aguiar, H, Ahluwalia, BS & Ahmad, A 2024, 'Roadmap on computational methods in optical imaging and holography [invited]', Applied Physics B: Lasers and Optics, vol. 130, no. 9, 166. https://doi.org/10.1007/s00340-024-08280-3
Roadmap on computational methods in optical imaging and holography, Hock Ng, S., Nothlawala, F., Oh, J., Ozcan, A., Park, Y., Porfirev, A. P., Potcoava, M., Prabhakar, S., Pu, J., Ratnam Rai, M., Rogalski, M., Ryu, M., Choudhary, S., Reddy Salla, G., Feykun Şener, S., Shevkunov, I., Shimobaba, T., Singh, R. K., ... Ahmad, A. (2024). Roadmap on computational methods in optical imaging and holography [invited]. Applied Physics B: Lasers and Optics, 130(9), Article 166. https://doi.org/10.1007/s00340-024-08280-3
@article{df1d9af5a61b4979af6145e56ca6065a,
title = "Roadmap on computational methods in optical imaging and holography [invited]",
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.",
author = "{Roadmap on computational methods in optical imaging and holography} and Joseph Rosen and Simon Alford and Blake Allan and Vijayakumar Anand and Shlomi Arnon and Arockiaraj, {Francis Gracy} and Jonathan Art and Bijie Bai and Balasubramaniam, {Ganesh M.} and Tobias Birnbaum and Bisht, {Nandan S.} and David Blinder and Liangcai Cao and Qian Chen and Ziyang Chen and Vishesh Dubey and Karen Egiazarian and Mert Ercan and Andrew Forbes and G. Gopakumar and Yunhui Gao and Sylvain Gigan and Pawe{\l} Goc{\l}owski and Shivasubramanian Gopinath and Alon Greenbaum and Ryoichi Horisaki and Daniel Ierodiaconou and Saulius Juodkazis and Tanushree Karmakar and Vladimir Katkovnik and Khonina, {Svetlana N.} and Peter Kner and Vladislav Kravets and Ravi Kumar and Yingming Lai and Chen Li and Jiaji Li and Shaoheng Li and Yuzhu Li and Jinyang Liang and Gokul Manavalan and Mandal, {Aditya Chandra} and Manisha Manisha and Christopher Mann and Marzejon, {Marcin J.} and Chan{\'e} Moodley and Junko Morikawa and Inbarasan Muniraj and Donatas Narbutis and {Hock Ng}, Soon and Fazilah Nothlawala and Jeonghun Oh and Aydogan Ozcan and Yongkeun Park and Porfirev, {Alexey P.} and Mariana Potcoava and Sashi Prabhakar and Jixiong Pu and {Ratnam Rai}, Mani and Mikolaj Rogalski and Meguya Ryu and Sakshi Choudhary and {Reddy Salla}, Gangi and Peter Schelkens and {Feykun {\c S}ener}, Sarp and Igor Shevkunov and Tomoyoshi Shimobaba and Singh, {Rakesh K.} and Singh, {Ravindra P.} and Adrian Stern and Jiasong Sun and Shun Zhou and Chao Zuo and Zack Zurawski and Tatsuki Tahara and Vipin Tiwari and Maciej Trusiak and R.V. Vinu and Volotovskiy, {Sergey G.} and Hasan Yilmaz and {Barbosa De Aguiar}, Hilton and Ahluwalia, {Balpreet S.} and Azeem Ahmad",
note = "Funding Information: Open access funding provided by Ben-Gurion University. Israel Innovation Authority (79555, MAGNET) (JR, Sec. 3); European Union\u2019s Horizon 2020 research and innovation programme grant agreement No. 857627 (CIPHR) (VA, Sec. 3 and Sec. 4); H2020 FET-OPEN DYNAMIC (grant no. 863203) (SG, Sec. 21); The Chan Zuckerberg Initiative (2020-225346) (SG, Sec. 21); S.G. is a member of the institute Universitaire de France (SG, Sec. 21); INTPART (project # 309802) (BSA, Sec. 18), Research Council of Norway (BSA, Sec. 18), (Qualification Project # 345423) (BSA, Sec. 18) and Narodowe Centrum Nauki (2020/37/B/ST7/03629) (BSA, Sec. 18); NIH RO1 NS111749 (SA, Sec. 7) and the NIH R21 DC017292 (JA, Sec. 7); European Union\u2019s Horizon 2020 research and innovation program (Future and Emerging Technologies) under Grant Agreement No. 828978 (Project CancerScan) and by the Israel Science Foundation (ISF) (grant No. 897/21) (SA, Sec. 23); Japan Society for the Promotion of Science (International research fellow P22752) (DB, Sec. 11); Fonds Wetenschappelijk Onderzoek (12ZQ223N, G089424N, G0A3O24N) (DB, Sec. 11); National Natural Science Foundation of China (NSFC) under grant number 61827825 (LC, Sec. 19); National Natural Science Foundation of China (62105151, 62175109, U21B2033, 62227818) (CZ, Sec. 14), Leading Technology of Jiangsu Basic Research Plan (BK20192003) (CZ, Sec. 14), Youth Foundation of Jiangsu Province (BK20210338) (CZ, Sec. 14), Biomedical Competition Foundation of Jiangsu Province (BE2022847) (CZ, Sec. 14), Key National Industrial Technology Cooperation Foundation of Jiangsu Province (BZ2022039) (CZ, Sec. 14), Fundamental Research Funds for the Central Universities (30920032101, 30923010206) (CZ, Sec. 14), Fundamental Scientific Research Business Fee Funds for the Central Universities (2023102001) (CZ, Sec. 14), and Open Research Fund of Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense (JSGP202105, JSGP202201) (CZ, Sec. 14); National Natural Science Foundation of China (grant No. 12150410318, Grant No. 62375092) (JP, Sec. 20), key project of natural Science Foundation of Fujian Province (grant no. 2023J020220) (JP, Sec. 20); The Academy of Finland (project no. 336357, PROFI 6 - TAU Imaging Research Platform) (KE, Sec. 15); T\u00DCBITAK grant no. 122F311 (YH, Sec.22); Life Sciences Research Foundation (AG, Sec. 6); National Institutes of Health (R21NS129093 and R21DC020005) (AG, Sec. 6); Goodnight Early Career Innovators Award (AG, Sec. 6); Science and Engineering Research Board (SERB)-CORE/2019/000026 and Department of Biotechnology (DBT)-BT/PR35557/MED/32/707/2019 (RKS, Sec. 25); I-DAPT Hub Foundation (I-DAPT/IIT(BHU)/2023-24/Project Sanction/46) (RKS, Sec. 25); Russian Science Foundation grant No. 22-79-10007 (SNK. Sec. 26); National Institute of General Medical Sciences (R21GM134462) (PK, Sec. 5); Start-up research grant (SRG/2019/000857) from DST-SERB, India (RK, Sec. 28); Natural Sciences and Engineering Research Council of Canada (RGPIN-2017-05959, RGPAS-2017-507845, I2IPJ-555593-20) (JL, Sec. 8); Canada Research Chairs Program (CRC-2022-00119) (JL, Sec. 8); Canada Foundation for Innovation and Minist\u00E8re de l'\u00C9conomie et de l\u2019Innovation du Qu\u00E9bec (37146) (JL, Sec. 8); Canadian Cancer Society (707056) (JL, Sec. 8); New Frontiers in Research Fund (NFRFE-2020-00267) (JL, Sec. 8); Fonds de Recherche du Qu\u00E9bec\u2013Nature et Technologies (203345\u2013Centre d\u2019Optique, Photonique, et Lasers, PBEEE-2023-2024-V1-334852) (JL, Sec. 8); National Science Center, Poland (SONATA 2020/39/D/ST7/03236) (MT, Sec. 17). The research was carried out on devices co-funded by the Warsaw University of Technology within the Excellence Initiative: Research University (IDUB) programme (MT, Sec. 17). M.R. is supported by the Foundation for Polish Science (FNP start programme); KAIST UP Program, BK21+ Program, Tomocube, National Research Foundation of Korea (2015R1A3A2066550, 2022M3H4A1A02074314) (YP, Sec. 16), and Institute of Information & communications Technology Planning & Evaluation (IITP; 2021-0-00745) grant funded by the Korea government (MSIT) (YP, Sec. 16); JSPS KAKENHI Grant Number 22H03607 (TS, Sec. 12), and IAAR Research Support Program, Chiba University, Japan (TS, Sec. 12). Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = sep,
doi = "10.1007/s00340-024-08280-3",
language = "English",
volume = "130",
journal = "Applied Physics B: Lasers and Optics",
issn = "0946-2171",
publisher = "Springer Verlag",
number = "9",
}