Quantitative phase contrast imaging with a nonlocal angle-selective metasurface

Anqi Ji, Jung-Hwan Song, Qitong Li, Fenghao Xu, Ching-Ting Tsai, Richard C. Tiberio, Bianxiao Cui, Philippe Lalanne, Pieter G. Kik, David A. B. Miller and Mark L. Brongersma ()
Additional contact information
Anqi Ji: Stanford University
Jung-Hwan Song: Stanford University
Qitong Li: Stanford University
Fenghao Xu: Stanford University
Ching-Ting Tsai: Stanford University
Richard C. Tiberio: Stanford University
Bianxiao Cui: Stanford University
Philippe Lalanne: University of Bordeaux
Pieter G. Kik: University of Central Florida
David A. B. Miller: Stanford University
Mark L. Brongersma: Stanford University

Nature Communications, 2022, vol. 13, issue 1, 1-7

Abstract: Abstract Phase contrast microscopy has played a central role in the development of modern biology, geology, and nanotechnology. It can visualize the structure of translucent objects that remains hidden in regular optical microscopes. The optical layout of a phase contrast microscope is based on a 4 f image processing setup and has essentially remained unchanged since its invention by Zernike in the early 1930s. Here, we propose a conceptually new approach to phase contrast imaging that harnesses the non-local optical response of a guided-mode-resonator metasurface. We highlight its benefits and demonstrate the imaging of various phase objects, including biological cells, polymeric nanostructures, and transparent metasurfaces. Our results showcase that the addition of this non-local metasurface to a conventional microscope enables quantitative phase contrast imaging with a 0.02π phase accuracy. At a high level, this work adds to the growing body of research aimed at the use of metasurfaces for analog optical computing.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-022-34197-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34197-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-34197-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().