Meta-amplified dark-field interferometric scattering microscopy

H Hongki Lee J Junxiang Zhao P Pan Hu Z Zhaoyu Nie M Ming Lei (State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Science) G Guanghao Chen (State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering) S Soojeong Baek (Department of Physics, University of Ulsan 1 , Ulsan 44610,) Q Qianyi Wu L Li Chen A Ang Li (State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry) M Mojie Luo S Shizhen Emily Wang (Department of Pathology, University of California, San Diego, La Jolla, California 92093, United States) S Sui Yang W Wei Wu Z Zhaowei Liu

Abstract

Abstract Label-free optical detection of nanometer-scale bioparticles is highly desirable for noninvasive biological studies but challenging due to the weak scattering signals that are difficult to distinguish from the illumination background. Interferometric scattering microscopy (iSCAT) has enabled high-sensitivity imaging by detecting the interference between the particle’s scattered light and a reference beam. However, enhancing the detection sensitivity and the image contrast for small particles continues to be a challenge in iSCAT. Here, we introduce meta-amplified dark-field interferometric scattering microscopy (MAD-iSCAT), which leverages a plasmonic metasurface to drastically enhance nanoparticle detection sensitivity in iSCAT. By employing a metasurface comprising sub-diffraction plasmonic meta-atom arrays, MAD-iSCAT generates bright radiation modes that intensely scatter light toward the far field in the presence of a detection nanoparticle, substantially amplifying the sensitivity. In the absence of a nanoparticle, the metasurface produces minimal background due to the dark collective mode, resulting in improved image contrast. We present a theoretical analysis of amplified interferometric imaging using designed metasurfaces and experimentally demonstrate enhancements in contrast and signal-to-noise ratio for detecting dielectric nanoparticles, exosomes, and proteins. Our approach offers broad applications in label-free biosensing and optical mass spectrometry, enabling significantly improved throughput and sensitivity.

Article Details

Volume / Issue Vol. 17, Issue 1
Published January 23, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (15)

H

Hongki Lee

J

Junxiang Zhao

P

Pan Hu

Z

Zhaoyu Nie

M

Ming Lei

State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Science

G

Guanghao Chen

State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering

S

Soojeong Baek

Department of Physics, University of Ulsan 1 , Ulsan 44610,

Q

Qianyi Wu

L

Li Chen

A

Ang Li

State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry

M

Mojie Luo

S

Shizhen Emily Wang

Department of Pathology, University of California, San Diego, La Jolla, California 92093, United States

S

Sui Yang

W

Wei Wu

Z

Zhaowei Liu