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3,693 results on '"Choi YU"'

1. Topological beaming of light: Proof-of-concept experiment

Author

Choi, Yu Sung, Lee, Ki Young, An, Soo-Chan, Jang, Minchul, Kim, Youngjae, Shin, Seung Han, and Yoon, Jae Woong

Subjects
Physics - Optics
Abstract

Beam shaping in nanophotonic systems remains a challenge due to the reliance on complex heuristic optimization procedures. In this work, we experimentally demonstrate a novel approach to topological beam shaping using Jackiw-Rebbi states in metasurfaces. By fabricating thin-film dielectric structures with engineered Dirac-mass distributions, we create domain walls that allow precise control over beam profiles. We observe the emergence of Jackiw-Rebbi states and confirm their localized characteristics. Notably, we achieve a flat-top beam profile by carefully tailoring the Dirac mass distribution, highlighting the potential of this method for customized beam shaping. This experimental realization establishes our approach as a new mechanism for beam control, rooted in topological physics, and offers an efficient strategy for nanophotonic design.

Published
2024

2. Quantum plasmonic sensing by Hong-Ou-Mandel interferometry

Author

Yoon, Seungjin, Choi, Yu Sung, Tame, Mark, Yoon, Jae Woong, Polyakov, Sergey V., and Lee, Changhyoup

Subjects
Quantum Physics, Physics - Optics
Abstract

We propose a quantum plasmonic sensor using Hong-Ou-Mandel (HOM) interferometry that measures the refractive index of an analyte, embedded in a plasmonic beam splitter composed of a dual-Kretschmann configuration, which serves as a frustrated total internal reflection beamsplitter. The sensing performance of the HOM interferometry, combined with single-photon detectors, is evaluated through Fisher information for estimation of the refractive index of the analyte. This is subsequently compared with the classical benchmark that considers the injection of a coherent state of light into the plasmonic beamsplitter. By varying the wavelength of the single photons and the refractive index of the analyte, we identify a wide range where a 50 % quantum enhancement is achieved and discuss the observed behaviors in comparison with the classical benchmark. We expect this study to provide a useful insight into the advancement of quantum-enhanced sensing technologies, with direct implications for a wide range of nanophotonic beamsplitter structures.

Published
2024
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16. Getting physical: Material mechanics is an intrinsic cell cue

Author

Atcha, Hamza, Choi, Yu Suk, Chaudhuri, Ovijit, and Engler, Adam J

Subjects
Biochemistry and Cell Biology, Biological Sciences, Stem Cell Research, 1.1 Normal biological development and functioning, Underpinning research, Mechanotransduction, Cellular, Cues, Stem Cells, Biocompatible Materials, extracellular matrix, forces, mechanobiology, niche, progenitor, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Advances in biomaterial science have allowed for unprecedented insight into the ability of material cues to influence stem cell function. These material approaches better recapitulate the microenvironment, providing a more realistic ex vivo model of the cell niche. However, recent advances in our ability to measure and manipulate niche properties in vivo have led to novel mechanobiological studies in model organisms. Thus, in this review, we will discuss the importance of material cues within the cell niche, highlight the key mechanotransduction pathways involved, and conclude with recent evidence that material cues regulate tissue function in vivo.

Published
2023

39. Tracking Cells and their Lineages via Labeled Random Finite Sets

Author

Nguyen, Tran Thien Dat, Vo, Ba-Ngu, Vo, Ba-Tuong, Kim, Du Yong, and Choi, Yu Suk

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Determining the trajectories of cells and their lineages or ancestries in live-cell experiments are fundamental to the understanding of how cells behave and divide. This paper proposes novel online algorithms for jointly tracking and resolving lineages of an unknown and time-varying number of cells from time-lapse video data. Our approach involves modeling the cell ensemble as a labeled random finite set with labels representing cell identities and lineages. A spawning model is developed to take into account cell lineages and changes in cell appearance prior to division. We then derive analytic filters to propagate multi-object distributions that contain information on the current cell ensemble including their lineages. We also develop numerical implementations of the resulting multi-object filters. Experiments using simulation, synthetic cell migration video, and real time-lapse sequence, are presented to demonstrate the capability of the solutions.

Published
2021
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