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

Research output: Contribution to journalReview articlepeer-review

36 Scopus citations


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 languageEnglish
Article number252
JournalJournal of Imaging
Issue number12
StatePublished - 1 Dec 2021


  • 3D distribution of refractive index
  • Biomedical analysis at cellular level
  • Digital holographic microscopy
  • Holographic tomography
  • Quantitative phase imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering


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