Publications by authors named "S Y J Chu"

Artificial nanostructures with ultrafine and deep-subwavelength features have emerged as a paradigm-shifting platform to advanced light-field management, becoming key building blocks for high-performance integrated optoelectronics and flat optics. However, direct optical inspection of integrated chips remains a missing metrology gap that hinders quick feedback between design and fabrications. Here, we demonstrate that photothermal nonlinear scattering microscopy can be used for direct imaging and resolving of integrated optoelectronic chips beyond the diffraction limit.

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CSF1R-related leukoencephalopathy (CSF1R-L) and AARS2-related leukoencephalopathy (AARS2-L) were two disease entities sharing similar phenotype and even pathological changes. Although clinically, radiologically, and pathologically similar, they were caused by mutation of two different genes. As the rarity of the two diseases, the differential diagnosis of them was difficult.

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Currently, the second most commonly diagnosed cancer in the world is lung cancer, and 85% of cases are non-small cell lung cancer (NSCLC). With growing knowledge of oncogene drivers and cancer immunology, several novel therapeutics have emerged to improve the prognostic outcomes of NSCLC. However, treatment outcomes remain diverse, and an accurate tool to achieve precision medicine is an unmet need.

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Objectives: The optimization of polyethylene glycol (PEG)-based extracellular vesicles (EVs) extraction from human follicular fluid (FF) and serum was investigated, and their functional analysis was confirmed. The PEG-based EV results were compared to the ExoQuick (ExoQ)-based EV.

Materials And Methods: FF-EVs and serum-EVs were extracted by using different concentrations of PEG (8000).

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This study investigates the association between prenatal exposure to dioxin-like polychlorinated biphenyls (DL-PCBs) and glucocorticoid and androgenic hormone levels in cord blood. We analyzed cord blood samples from 500 mother-infant pairs from China (2022-2023), focusing on hormones including cortisol, cortisone, dehydroepiandrosterone (DHEA), and androstenedione. The main analysis revealed significant reductions in cortisol levels with increased exposure to PCB-77 (β = -3.

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