High‐Density Pixelated Metasurfaces for Terahertz Hyperspectral Imaging

Metasurface-enabled terahertz imaging and spectroscopy are moving toward compact, high-throughput systems, but current approaches remain limited by discrete spectral sampling, computational reconstruction, and the trade-off between spatial resolution and resonance quality in nonlocal designs. Here, we introduce a fundamentally different paradigm based on photonic crystal heterojunction-enabled pixelated metasurfaces that directly encode spatial information into spectrally resolved, high-quality-factor resonances. By embedding bound-state-in-the-continuum metapixels within a bandgap-engineered heterostructure, we simultaneously suppress lateral leakage and control vertical radiation, enabling effective three-dimensional photon confinement in finite metasurfaces. This mechanism overcomes the conventional dependence of resonance quality on pixel size, yielding enhanced quality factors and figure of merit without increasing the device footprint, and enabling metapixels with lateral dimensions of ∼2λ that retain high spectral fidelity and signal-to-noise ratio. Leveraging this capability, we realize a 3 × 3 pixelated metasurface supporting nine independently addressable resonances, all retrieved in a single-shot broadband terahertz measurement. The resulting spectral-spatial encoding strategy establishes a direct one-to-one mapping between resonance signatures and spatial pixels, enabling hyperspectral imaging with a single-pixel detector and a THz pulse, without raster scanning or algorithmic inversion. These results provide a scalable route toward real-time terahertz imaging and integrated photonic sensing.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-11-09
DOI
https://doi.org/10.1002/adma.75661
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

High‐Density Pixelated Metasurfaces for Terahertz Hyperspectral Imaging

Longqing Cong, Ye Zhou, Junxing Fan, Zhanqiang Xue et al.
Advanced Materials
Metamaterials and Metasurfaces Applications
article

High‐Density Pixelated Metasurfaces for Terahertz Hyperspectral Imaging

Longqing Cong, Ye Zhou, Junxing Fan, Zhanqiang Xue, Hongyang Xing, Zijian Liao, Guizhen Xu
article en

Abstract

Metasurface-enabled terahertz imaging and spectroscopy are moving toward compact, high-throughput systems, but current approaches remain limited by discrete spectral sampling, computational reconstruction, and the trade-off between spatial resolution and resonance quality in nonlocal designs. Here, we introduce a fundamentally different paradigm based on photonic crystal heterojunction-enabled pixelated metasurfaces that directly encode spatial information into spectrally resolved, high-quality-factor resonances. By embedding bound-state-in-the-continuum metapixels within a bandgap-engineered heterostructure, we simultaneously suppress lateral leakage and control vertical radiation, enabling effective three-dimensional photon confinement in finite metasurfaces. This mechanism overcomes the conventional dependence of resonance quality on pixel size, yielding enhanced quality factors and figure of merit without increasing the device footprint, and enabling metapixels with lateral dimensions of ∼2λ that retain high spectral fidelity and signal-to-noise ratio. Leveraging this capability, we realize a 3 × 3 pixelated metasurface supporting nine independently addressable resonances, all retrieved in a single-shot broadband terahertz measurement. The resulting spectral-spatial encoding strategy establishes a direct one-to-one mapping between resonance signatures and spatial pixels, enabling hyperspectral imaging with a single-pixel detector and a THz pulse, without raster scanning or algorithmic inversion. These results provide a scalable route toward real-time terahertz imaging and integrated photonic sensing.

Advanced Materials
Shanghai Jiao Tong University (CN), Southern University of Science and Technology (CN)
Metamaterials and Metasurfaces Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon