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Sukyoon Oh

Publications and source records attributed to Sukyoon Oh.

2 recordsLinked to original sources

Multi-wavelength ghost imaging: a review

Ghost imaging (GI) forms images from intensity-correlation data collected by a single-pixel detector, decoupling illumination and sensing. Since its quantum-photon origins, the technique has evolved through classical pseudothermal, computational and deep-learning variants to span an unprecedented spectral range--from extreme-ultraviolet (XUV) to terahertz (THz) waves and even matter waves. This review traces that evolution, highlighting how wavelength dictates modulators, detectors and propagation physics and, in turn, the attainable penetration depth, resolution and dose. We survey X-ray/XUV implementations that deliver low-damage microscopy, visible/near-IR systems that achieve video-rate lidar through fog and water, mid-IR platforms that extract molecular fingerprints in photon-starved conditions, and THz schemes that provide non-destructive inspection of concealed structures. These advances collectively position multi-wavelength GI as a versatile, low-dose alternative wherever conventional focal-plane arrays falter.

physics.optics

Tabletop Lensless Imaging in the Extreme Ultraviolet with Reduced Radiation Dose

High-resolution extreme ultraviolet (XUV) imaging remains limited by conventional approaches that require complex optics such as multilayer mirrors and zone plates. These methods are expensive, suffer from chromatic aberrations and narrow fields of view, and demand highly stable, coherent beam sources typically found only at large-scale facilities. Critically, the high photon flux they require often damages sensitive biological and soft-matter samples. We present a new solution: a lensless XUV microscopy platform combining a compact tabletop high-harmonic generation source with correlation-based ghost imaging. Our approach eliminates the need for complex optics, lowering system cost and dramatically improving resilience against lab-scale instabilities. Leveraging Hadamard patterns and compressive sensing algorithms, we achieve high-fidelity imaging even in low-photon environments, with a 400\% improvement in structural similarity index compared to baseline methods. This confirms the feasibility of broadband, low-dose XUV imaging, enabling damage-minimized, non-destructive inspection for advanced materials and biological specimens, and establishes a new paradigm for accessible XUV microscopy.

physics.optics