TY - JOUR
T1 - Roadmap on digital holography-based quantitative phase imaging
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.
PY - 2021/11/26
Y1 - 2021/11/26
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/675132
UR - https://www.mdpi.com/2313-433X/7/12/252
UR - http://www.scopus.com/inward/record.url?scp=85121377230&partnerID=8YFLogxK
U2 - 10.3390/jimaging7120252
DO - 10.3390/jimaging7120252
M3 - Article
C2 - 34940719
SN - 2313-433X
VL - 7
SP - 252
JO - Journal of Imaging
JF - Journal of Imaging
IS - 12
ER -