Roadmap on digital holography-based quantitative phase imaging

Vinoth Balasubramani; Małgorzata Kujawińska; Cédric Allier; Vijayakumar Anand; Chau Jern Cheng; Christian Depeursinge; Nathaniel Hai; Saulius Juodkazis; Jeroen Kalkman; Arkadiusz Kuś; Moosung Lee; Pierre J. Magistretti; Pierre Marquet; Soon Hock Ng; Joseph Rosen; Yong Keun Park; Michał Ziemczonok

doi:10.3390/jimaging7120252

Roadmap on digital holography-based quantitative phase imaging

Vinoth Balasubramani, Małgorzata Kujawińska, Cédric Allier, Vijayakumar Anand, Chau Jern Cheng, Christian Depeursinge, Nathaniel Hai, Saulius Juodkazis, Jeroen Kalkman, Arkadiusz Kuś, Moosung Lee, Pierre J. Magistretti, Pierre Marquet, Soon Hock Ng, Joseph Rosen, Yong Keun Park, Michał Ziemczonok

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48 Scopus citations

Abstract

Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or technical microstructures, merging beneficial features identified with microscopy, interferometry, holography, and numerical computations. This roadmap article reviews several digital holography-based QPI approaches developed by prominent research groups. It also briefly discusses the present and future perspectives of 2D and 3D QPI research based on digital holographic microscopy, holographic tomography, and their applications.

Original language	English (US)
Pages (from-to)	252
Journal	Journal of Imaging
Volume	7
Issue number	12
DOIs	https://doi.org/10.3390/jimaging7120252
State	Published - Nov 26 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-01-26
Acknowledgements: The work is supported by the Natural Sciences and Engineering Research Council of Canada (Grant No. RGPIN-2018-06198), Canada Excellence Research Chairs Program, Canada Foundation for Innovation (Grant Nos. 36689 and 342). Section 3: Swiss Federal Institute of Technology of Lausanne (EPFL), the University of Lausanne (UNIL) and the King Abdullah University of Science and Technology (Kaust). Section 5: Sponsored by Australian Research Council projects, Linkage (LP190100505) and Discovery (DP130101205, DP170100131). Section 6: The work was supported by KAIST UP program, BK21+ program, Tomocube, and National Re-search Foundation of Korea (2017M3C1A3013923, 2015R1A3A2066550, 2018K000396). Section 7: The work was supported by the Ministry of Science and Technology, Taiwan (MOST) under the contract numbers: 109-2811-E-003-500, 108-2221-E-003-019-MY3, and 107-2923-E-003-001-MY3. Sections 7 and 9: Supported by the project NeuroPhase (PL-TW/V/5/2018) financed by the National Centre for Research and Development. Section 9: This work has been supported by TEAM TECH/2016-1/4 of Foundation for Polish Science, co-financed by the European Union under the European Regional Development Fund; FOTECH-1 project granted by Warsaw University of Technology under the program Excellence Initiative: Research University (ID-UB). Section 10: The work has received funding from the European Union’s Horizon 2020 research programme under grant agreement N◦ 101016726.

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https://repository.kaust.edu.sa/bitstream/10754/675132/1/jimaging-07-00252%20%281%29.pdf

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Balasubramani, V., Kujawińska, M., Allier, C., Anand, V., Cheng, C. J., Depeursinge, C., Hai, N., Juodkazis, S., Kalkman, J., Kuś, A., Lee, M., Magistretti, P. J., Marquet, P., Ng, S. H., Rosen, J., Park, Y. K., & Ziemczonok, M. (2021). Roadmap on digital holography-based quantitative phase imaging. Journal of Imaging, 7(12), 252. https://doi.org/10.3390/jimaging7120252

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abstract = "Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or technical microstructures, merging beneficial features identified with microscopy, interferometry, holography, and numerical computations. This roadmap article reviews several digital holography-based QPI approaches developed by prominent research groups. It also briefly discusses the present and future perspectives of 2D and 3D QPI research based on digital holographic microscopy, holographic tomography, and their applications.",

author = "Vinoth Balasubramani and Ma{\l}gorzata Kujawi{\'n}ska and C{\'e}dric Allier and Vijayakumar Anand and Cheng, {Chau Jern} and Christian Depeursinge and Nathaniel Hai and Saulius Juodkazis and Jeroen Kalkman and Arkadiusz Ku{\'s} and Moosung Lee and Magistretti, {Pierre J.} and Pierre Marquet and Ng, {Soon Hock} and Joseph Rosen and Park, {Yong Keun} and Micha{\l} Ziemczonok",

note = "KAUST Repository Item: Exported on 2022-01-26 Acknowledgements: The work is supported by the Natural Sciences and Engineering Research Council of Canada (Grant No. RGPIN-2018-06198), Canada Excellence Research Chairs Program, Canada Foundation for Innovation (Grant Nos. 36689 and 342). Section 3: Swiss Federal Institute of Technology of Lausanne (EPFL), the University of Lausanne (UNIL) and the King Abdullah University of Science and Technology (Kaust). Section 5: Sponsored by Australian Research Council projects, Linkage (LP190100505) and Discovery (DP130101205, DP170100131). Section 6: The work was supported by KAIST UP program, BK21+ program, Tomocube, and National Re-search Foundation of Korea (2017M3C1A3013923, 2015R1A3A2066550, 2018K000396). Section 7: The work was supported by the Ministry of Science and Technology, Taiwan (MOST) under the contract numbers: 109-2811-E-003-500, 108-2221-E-003-019-MY3, and 107-2923-E-003-001-MY3. Sections 7 and 9: Supported by the project NeuroPhase (PL-TW/V/5/2018) financed by the National Centre for Research and Development. Section 9: This work has been supported by TEAM TECH/2016-1/4 of Foundation for Polish Science, co-financed by the European Union under the European Regional Development Fund; FOTECH-1 project granted by Warsaw University of Technology under the program Excellence Initiative: Research University (ID-UB). Section 10: The work has received funding from the European Union{\textquoteright}s Horizon 2020 research programme under grant agreement N◦ 101016726.",

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AU - Balasubramani, Vinoth

AU - Kujawińska, Małgorzata

AU - Allier, Cédric

AU - Anand, Vijayakumar

AU - Cheng, Chau Jern

AU - Depeursinge, Christian

AU - Hai, Nathaniel

AU - Juodkazis, Saulius

AU - Kalkman, Jeroen

AU - Kuś, Arkadiusz

AU - Lee, Moosung

AU - Magistretti, Pierre J.

AU - Marquet, Pierre

AU - Ng, Soon Hock

AU - Rosen, Joseph

AU - Park, Yong Keun

AU - Ziemczonok, Michał

N1 - KAUST Repository Item: Exported on 2022-01-26 Acknowledgements: The work is supported by the Natural Sciences and Engineering Research Council of Canada (Grant No. RGPIN-2018-06198), Canada Excellence Research Chairs Program, Canada Foundation for Innovation (Grant Nos. 36689 and 342). Section 3: Swiss Federal Institute of Technology of Lausanne (EPFL), the University of Lausanne (UNIL) and the King Abdullah University of Science and Technology (Kaust). Section 5: Sponsored by Australian Research Council projects, Linkage (LP190100505) and Discovery (DP130101205, DP170100131). Section 6: The work was supported by KAIST UP program, BK21+ program, Tomocube, and National Re-search Foundation of Korea (2017M3C1A3013923, 2015R1A3A2066550, 2018K000396). Section 7: The work was supported by the Ministry of Science and Technology, Taiwan (MOST) under the contract numbers: 109-2811-E-003-500, 108-2221-E-003-019-MY3, and 107-2923-E-003-001-MY3. Sections 7 and 9: Supported by the project NeuroPhase (PL-TW/V/5/2018) financed by the National Centre for Research and Development. Section 9: This work has been supported by TEAM TECH/2016-1/4 of Foundation for Polish Science, co-financed by the European Union under the European Regional Development Fund; FOTECH-1 project granted by Warsaw University of Technology under the program Excellence Initiative: Research University (ID-UB). Section 10: The work has received funding from the European Union’s Horizon 2020 research programme under grant agreement N◦ 101016726.

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Roadmap on digital holography-based quantitative phase imaging

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