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Hybrid µCT-FMT imaging and image analysis

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Published on: June 4, 2015

Metasurfaces for biomedical applications: materials design, optical engineering, and system integration.

Minseok Lee¹, Seungjin Jeong¹, Bongjoong Kim^1,2

¹Department of Mechanical Engineering, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul, 04066 Republic of Korea.

Biomedical Engineering Letters

|March 27, 2026

Summary

Metasurfaces revolutionize biomedical applications by enabling nanoscale light control. Advancements from metal to dielectric platforms and CMOS integration promise enhanced diagnostics and imaging.

Keywords:

Biomedical imaging High-Q resonance Label-free biosensing Metasurface System integration

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Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

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Published on: April 11, 2025

Area of Science:

Optics and Photonics
Biomedical Engineering
Materials Science

Background:

Metasurfaces, nanoscale optical elements, offer precise light manipulation.
Evolution from plasmonic to dielectric metasurfaces addresses limitations like Ohmic losses.
Integration with CMOS technology is key for practical biomedical applications.

Purpose of the Study:

To review the materials-centric progression of metasurface design for biomedical applications.
To analyze the performance advantages of all-dielectric metasurfaces over all-metal ones.
To explore wavefront engineering and CMOS integration for advanced diagnostics and imaging.

Main Methods:

Materials-centric analysis of metasurface evolution (all-metal, hybrid, all-dielectric).
Examination of localized surface plasmon resonances (LSPRs) and Mie resonances.
Discussion of wavefront engineering principles and CMOS integration strategies.

Main Results:

All-metal metasurfaces show limitations due to Ohmic losses.
All-dielectric metasurfaces achieve high sensitivity via Mie resonances and quasi-BIC.
Metasurfaces enable miniaturized systems for OCT, microscopy, and endoscopy with record detection limits.

Conclusions:

All-dielectric metasurfaces offer significant performance gains for biosensing and molecular analysis.
Metasurfaces integrated with CMOS technology pave the way for AI-enabled point-of-care diagnostics.
This progression is critical for advancing biomedical imaging, diagnostics, and biological discovery.