Print Email Facebook Twitter Roadmap on digital holography-based quantitative phase imaging Title Roadmap on digital holography-based quantitative phase imaging Author Balasubramani, Vinoth (King Abdullah University of Science and Technology; National Taiwan Normal University) Kujawińska, Małgorzata (Warsaw University of Technology) Allier, Cédric (Université Grenoble Alpes) Anand, Vijayakumar (Swinburne University of Technology) Cheng, Chau Jern (National Taiwan Normal University) Depeursinge, Christian (King Abdullah University of Science and Technology) Hai, Nathaniel (Ben-Gurion University of the Negev) Kalkman, J. (TU Delft ImPhys/Imaging Physics; TU Delft ImPhys/Computational Imaging) Park, Yong Keun (Korea Advanced Institute of Science and Technology; Tomocube, Daejeon) Department ImPhys/Imaging Physics Date 2021 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. Subject 3D distribution of refractive indexBiomedical analysis at cellular levelDigital holographic microscopyHolographic tomographyQuantitative phase imaging To reference this document use: http://resolver.tudelft.nl/uuid:c0c39587-cc09-40d0-ab22-6c6be367ff64 DOI https://doi.org/10.3390/jimaging7120252 ISSN 2313-433X Source Journal of Imaging, 7 (12) Part of collection Institutional Repository Document type review Rights © 2021 Vinoth Balasubramani, Małgorzata Kujawińska, Cédric Allier, Vijayakumar Anand, Chau Jern Cheng, Christian Depeursinge, Nathaniel Hai, J. Kalkman, Yong Keun Park, More Authors Files PDF jimaging_07_00252.pdf 1.66 MB Close viewer /islandora/object/uuid:c0c39587-cc09-40d0-ab22-6c6be367ff64/datastream/OBJ/view