Evidence map›Paper›PMID 42265082›Full record

ArticleLight, science & applications2026

Dynamically tunable membrane metasurfaces for infrared spectroscopy and strong light-matter interactions.

Furkan Kuruoglu, Samir Rosas, Yihong Chen, Brijesh Kumar, Shenwei Yin, Jin-Woo Cho, David A Czaplewski, Yuri Kivshar, Mikhail A Kats, Filiz Yesilkoy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Light, science & applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Furkan Kuruoglu *Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Samir Rosas *Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Yihong ChenDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Brijesh KumarNonlinear Physics Center, Research School of Physics, Australian National University, Canberra, ACT, Australia.
Shenwei YinDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0009-0005-7182-8686
Jin-Woo ChoDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-9143-428X
David A CzaplewskiCenter for Nanoscale Materials, Argonne National Laboratory, Lemont, IL, USA.ORCID http://orcid.org/0000-0003-2262-0908
Yuri KivsharNonlinear Physics Center, Research School of Physics, Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0002-3410-812X
Mikhail A KatsDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0003-4897-4720
Filiz YesilkoyDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA. filiz.yesilkoy@wisc.edu.ORCID http://orcid.org/0000-0001-8483-3285

Funding

Metasurface enhanced and machine learning aided spectrochemical liquid biopsyR21EB034411 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI YESILKOY, FILIZ · 2023 to 2025
$595k
Bilimsel Araştirma Projeleri Birimi, Istanbul Üniversitesi (Department of Scientific Research Projects, Istanbul University) FBA-2023-39705Department of Education and Training | Australian Research Council (ARC) DP210101292National Science Foundation (NSF) 2401616Türkiye Bilimsel ve Teknolojik Araştirma Kurumu (Scientific and Technological Research Council of Turkey) 1059B192300015United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-20-1-2297U.S. Department of Health & Human Services | National Institutes of Health (NIH) R21EB034411
6 · The paper itself

Abstract

Mid-infrared spectroscopy enables biochemical sensing by identifying vibrational molecular fingerprints, but it faces limitations in instrumentation portability and analytical sensitivity. Optical metasurfaces with strong mid-infrared photonic resonances provide an attractive solution towards on-chip spectrometry and sensitive molecular detection, yet their static nature hinders their anticipated impact. Here, we introduce and demonstrate dynamically tunable silicon membrane metasurfaces exhibiting high-Q transmissive resonances in the fingerprint region. By harnessing silicon's thermo-optical properties, we achieve continuous modulation of coupling-induced transparency (CIT) modes that emerge upon the interference of quasi-bound states in the continuum (q-BICs) and surface lattice modes (SLMs). We measure a spectral tuning rate of 0.06 cm

Identifiers

PMID42265082
PMCPMC13249898

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.