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

^*此作品的通信作者

光電工程學士學位學程

研究成果: 雜誌貢獻 › 回顧評介論文 › 同行評審

46 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
文章編號	252
期刊	Journal of Imaging
卷	7
發行號	12
DOIs	https://doi.org/10.3390/jimaging7120252
出版狀態	已發佈 - 2021 12月

ASJC Scopus subject areas

放射學、核子醫學和影像學
電腦視覺和模式識別
電腦繪圖與電腦輔助設計
電氣與電子工程

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10.3390/jimaging7120252

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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), 文章 252. https://doi.org/10.3390/jimaging7120252

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title = "Roadmap on digital holography-based quantitative phase imaging",

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.",

keywords = "3D distribution of refractive index, Biomedical analysis at cellular level, Digital holographic microscopy, Holographic tomography, Quantitative phase imaging",

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 = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = dec,

doi = "10.3390/jimaging7120252",

language = "English",

volume = "7",

journal = "Journal of Imaging",

issn = "2313-433X",

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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

PY - 2021/12

Y1 - 2021/12

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.

KW - 3D distribution of refractive index

KW - Biomedical analysis at cellular level

KW - Digital holographic microscopy

KW - Holographic tomography

KW - Quantitative phase imaging

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DO - 10.3390/jimaging7120252

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Roadmap on digital holography-based quantitative phase imaging

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ASJC Scopus subject areas

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