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Cited by 270

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Metasurfaces for biomedical applications: imaging and sensing from a nanophotonics perspective

Open access
Zhang, Shuyan, Wong, Chi Lok, Zeng, Shuwen, Bi, Renzhe, Tai, Kolvyn, Dholakia, Kishan, Olivo, Malini·2020·Nanophotonics

Abstract

Metasurface is a recently developed nanophotonics concept to manipulate the properties of light by replacing conventional bulky optical components with ultrathin (more than 10 4 times thinner) flat optical components. Since the first demonstration of metasurfaces in 2011, they have attracted tremendous interest in the consumer optics and electronics industries. Recently, metasurface-empowered novel bioimaging and biosensing tools have emerged and been reported. Given the recent advances in metasurfaces in biomedical engineering, this review article covers the state of the art for this technology and provides a comprehensive interdisciplinary perspective on this field. The topics that we have covered include metasurfaces for chiral imaging, endoscopic optical coherence tomography, fluorescent imaging, super-resolution imaging, magnetic resonance imaging, quantitative phase imaging, sensing of antibodies, proteins, DNAs, cells, and cancer biomarkers. Future directions are discussed in twofold: application-specific biomedical metasurfaces and bioinspired metasurface devices. Perspectives on challenges and opportunities of metasurfaces, biophotonics, and translational biomedical devices are also provided. The objective of this review article is to inform and stimulate interdisciplinary research: firstly, by introducing the metasurface concept to the biomedical community; and secondly by assisting the metasurface community to understand the needs and realize the opportunities in the medical fields. In addition, this article provides two knowledge boxes describing the design process of a metasurface lens and the performance matrix of a biosensor, which serve as a “crash-course” introduction to those new to both fields.

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Metadata

Authors
Zhang, S., Wong, C. L., Zeng, S., Bi, R., Tai, K., Dholakia, K., & Olivo, M.
Venue
Nanophotonics
Published
2020-09-07
Volume
10
Issue
1
Pages
259-293
ISSN
  • 2192-8606 (ISSN-L)
  • 2192-8614
OpenAlex
W3084232068
Cited by
270
References
8
FWCI
18.40
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Metasurfaces for biomedical applications: imaging and sensing from a nanophotonics perspective. https://app.cochat.ai/papers/10.1515/nanoph-2020-0373
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Zhang, S., Wong, C. L., Zeng, S., Bi, R., Tai, K., Dholakia, K., & Olivo, M. (2020). Metasurfaces for biomedical applications: imaging and sensing from a nanophotonics perspective. Nanophotonics. https://doi.org/10.1515/nanoph-2020-0373

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.