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Updated: May 17, 2026

Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
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High-Dimensional Diagnostic Encoding with Out-of-Plane Nonlocal Metasurfaces.

Jiacheng Sun1,2,3, Fajun Li4,5, Sisi Yan2,3

  • 1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.

Nano Letters
|May 15, 2026
PubMed
Summary

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This summary is machine-generated.

This study introduces an out-of-plane nonlocal metasurface for advanced AI-assisted optical diagnosis. This novel biosensor enhances diagnostic accuracy by encoding rich spectral data, improving detection in complex samples.

Area of Science:

  • Nanophotonics
  • Biosensing
  • Artificial Intelligence

Background:

  • AI-assisted optical diagnosis needs reproducible spectral features.
  • Current nanophotonic biosensors often simplify complex optical responses to single scalar values.
  • This simplification limits diagnostic information and accuracy.

Purpose of the Study:

  • To develop a nanophotonic biosensor for robust, high-dimensional diagnostic encoding.
  • To improve AI-assisted diagnostic accuracy using full-spectrum analysis.
  • To overcome limitations of scalar observables in biosensing.

Main Methods:

  • Designed an out-of-plane nonlocal metasurface.
  • Utilized nonlocal lattice resonance for spectral-intensity variations.
  • Employed deep neural networks for full-spectrum response decoding.
Keywords:
AI-assisted diagnosisdefect-tolerant refractometric biosensingfull-spectrum diagnostic encodinghigh-dimensional spectral analysisout-of-plane nonlocal metasurface

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  • Assessed disorder tolerance and interference suppression.
  • Main Results:

    • The metasurface demonstrated high-dimensional encoding with strong disorder tolerance (0.1 nm/nm sensitivity).
    • Out-of-plane geometry reduced interference from complex liquids.
    • AI decoding of full-spectrum response improved diagnostic accuracy from ~75% to 90.0% (AUC 95.0%).

    Conclusions:

    • Out-of-plane nonlocal metasurfaces enable high-dimensional spectral encoding for biosensing.
    • This approach significantly enhances AI-assisted diagnostic decoding accuracy.
    • The technology shows promise for analyzing complex biological samples like serum.