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My research integrates three levels of engineering—nanostructure design, optical system development, and computational algorithms. Through co-design frameworks, I enhance sensitivity and resolution, enabling applications in super-resolution microscopy, label-free holography, and advanced display technologies.
Volumetric Super-resolution Microscopy
Challenge: Conventional super-resolution methods suffer from anisotropic resolution along the axial direction, limiting true 3D imaging.
Outcome: This work uses axial interference speckle illumination and fluctuation-based computational reconstruction to achieve near-isotropic 3D super-resolution (Nat. Commun., 2025), thereby enabling visualization and tracking of nanoscale biological processes such as nanoplastic uptake in skin tissue models.
Label-free Scattering Holography
Challenge: Fluorescence labels can alter particle behavior and do not provide intrinsic physical properties such as size and morphology.
Outcome: We developed plasmon-enhanced phase-shifting interferometry to measure complex optical fields and recover intrinsic particle parameters from scattered light. This approach provides quantitative and label-free characterization of size and shape, even for nonspherical nanoparticles.
Metasurface Integrated Display Devices
Challenge: Conventional OLED devices suffer from efficiency lossees and high reflectance under ambient light.
Outcome: We designed and fabricated metasurface-integrated OLEDs that enhance near-field localization, improve out-coupling efficiency, and reduce reflectance, achieving significant angular enhancement (LPR 2025). This work was conducted in collaboration with Samsung Display and the Gumi Electronics & Information Technology Research Institute (GERI).
Plasmon-enhanced Imaging and Spectroscopy
Challenge: Fluorescence and Raman microscopy are limited by the diffraction-limit and weak signal levels.
Outcome: We developed plasmon-enhanced structured illumination microscopy and advanced SERS platforms to overcome these barriers. Using gradient descent–based reconstruction, our aim is to (i) achieve over threefold enhancement in fluorescence resolution, and (ii) improve the spatial resolution of Raman imaging and (iii) enable sensitive detection via SERS.
Related publications: [AOM 2021] [JCP 2021] [LSA 2023] [Analyst 2024] [ACS Nano 2025]
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