Hyeon-ji Lee
Korea University · 生化学・遺伝学・分子生物学
研究室紹介
Professor Hyeon-ji Lee's research lab specializes in advanced materials and biomedical engineering, with a focus on developing innovative microfluidic platforms for high-performance multiplex immunoassays and applying these technologies to biomedical diagnostics and regenerative medicine. The lab pioneers the use of flow lithography to fabricate graphically encoded hydrogel microparticles with tailored chemical and structural properties for enhanced protein detection. Additionally, the lab conducts applied research in orthopedic disease modeling, evaluating natural therapeutics such as deer bone extract for osteoarthritis treatment using advanced imaging techniques. The integration of microfluidics, materials science, and translational biomedical research defines the lab’s interdisciplinary approach.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15This paper presents a harmonic analysis model for the Korean high-speed railway. Since the harmonic current flows through the catenary system, the catenary system must be modeled exactly to analyze harmonic current amplifications and the total harmonic distortion. In the present work, the line constants of five conductors in the catenary system were calculated by the reduction method, and each subsystem, which consisted of the Korean high-speed railway system, was modeled by the eight-port repre
and the non-natural strigolactone isomer (-)-5-deoxystrigol in a highly stereoselective manner.
In response to a growing demand for simultaneous detection of multiple proteins in a single sample, multiplex immunoassay platforms have emerged at the forefront of proteomic analysis. In particular, detections using graphically encoded hydrogel microparticles synthesized via flow lithography have received attention for integrating a hydrogel, a substrate that can provide enhanced kinetics and high loading capacity, into the bead-based multiplex platform. Currently, the method of microparticle f
Multiplex immunoassay, or the simultaneous detection of multiple proteins in a single sample, is expected to enable a new level of protein analysis across diverse disciplines, such as medical diagnostics and biomarker discovery. A bead-based assay using graphically encoded hydrogel microparticles synthesized using stop flow lithography has been a promising platform because of its high multiplex capacity and its superior sensitivity and dynamic range compared to the enzyme-linked immunosorbent as
We evaluated the anti-osteoarthritic effects of deer bone extract on articular cartilage damage by using micro–computed tomography (micro-CT) in monosodium iodoacetate (MIA)-induced osteoarthritis (OA) in rats. Male Wistar rats (6 weeks of age) were randomly divided into 5 groups (10 rats/group): sham control (SC; PBS injection + PBS 1mL treatment); negative control (NC; MIA injection + PBS 1mL treatment); positive control (PC; MIA injection + 250 mg/kg glucosamine sulfate/chondroitin sulfate mi
Flow lithography (FL) is a microfluidic technique distinguished for its ability to produce hydrogel microparticles of various geometrical and chemical designs. While FL is typically performed in room temperature, this paper reports a new technique called low temperature flow lithography that uses low synthesis temperature to increase the degree of polymerization of microparticles without compromising other aspects of flow lithography. We suggest that decreased oxygen diffusivity in low temperatu
, we demonstrate our method's capability to temporarily reconfigure fluid flow and deliver chemical stimuli to the animal's nose to examine the animal's responses. We envision this approach to be useful for similar recordings for other small motile organisms, as well as scenarios where microfluidics and polymerization are used to control flow and rection.
BACKGROUNDS: Preoperative imaging, particularly with magnetic resonance imaging (MRI) and computed tomography (CT) scans, plays a crucial role in distinguishing between benign and malignant parotid gland tumors, while the reliability of Ultrasound-Guided Fine Needle Aspiration (FNA) in diagnosing these masses remains a topic of debate. METHODS: This two-center retrospective analysis was conducted on 347 patients with parotid gland tumors who had FNA and preoperative imaging (CT or MRI). All pati
Cell identification is an important yet difficult process in data analysis of biological images. Previously, we developed an automated cell identification method called CRF_ID and demonstrated its high performance in Caenorhabditis elegans whole-brain images (Chaudhary et al., 2021). However, because the method was optimized for whole-brain imaging, comparable performance could not be guaranteed for application in commonly used C. elegans multi-cell images that display a subpopulation of cells.
Cell identification is an important yet difficult process in data analysis of biological images. Previously, we developed an automated cell identification method called CRF_ID and demonstrated its high performance in Caenorhabditis elegans whole-brain images (Chaudhary et al., 2021). However, because the method was optimized for whole-brain imaging, comparable performance could not be guaranteed for application in commonly used C. elegans multi-cell images that display a subpopulation of cells.
본 연구의 목적은 청소년기 도움요청행동 변화 양상을 탐색하고, 청소년 초기 성취목표가 도움요청행동 발달과 대학에서의 학업참여와 성취에 대해 가지는 예측력을 확인하고 그 관계에 있어서 도움요청행동 발달이 가지는 매개효과를 알아보는 것이다. 한국교육종단연구(Korean Education Longitudinal Study: KELS) 중1 패널에서 2차년도(중2)부터 5차년도(고2), 7차년도(대1)까지의 설문에 응답한 3,686명을 대상으로 성장모형을 활용하여 도움요청행동 변화 양상을 확인하였다. 또한 중학교 2학년 때 가지는 청소년 초기의 성취목표가 이후 도움요청행동 발달 및 대학에서의 학업참여와 성취에 미치는 영향을 알아보고, 이에 있어 도움요청행동 발달의 매개 효과를 검증하였다. 분석 결과, 도움요청행동은 전반적으로 감소하는 양상을 보였으며, 청소년 초기 숙달접근목표와 수행접근목표가 도움요청행동의 초기치를 정적으로 예측하였고, 숙달접근목표는 도움요청행동의 변화율을 부적으로 예측하였
Abstract Cell identification is an important yet difficult process in data analysis of biological images. Previously, we developed an automated cell identification method called CRF_ID and demonstrated its high performance in C. elegans whole-brain images (Chaudhary et al, 2021). However, because the method was optimized for whole-brain imaging, comparable performance could not be guaranteed for application in commonly used C. elegans multi-cell images that display a subpopulation of cells. Here
Abstract Cell identification is an important yet difficult process in data analysis of biological images. Previously, we developed an automated cell identification method called CRF_ID and demonstrated its high performance in C. elegans whole-brain images (Chaudhary et al, 2021). However, because the method was optimized for whole-brain imaging, comparable performance could not be guaranteed for application in commonly used C. elegans multi-cell images that display a subpopulation of cells. Here
융합과 통합이 시대적 담론이 되어가는 현시대의 교육 패러다임은 일반화(또는빅 아이디어)를 중심으로 한 교육과정의 개편으로 이어지고 있다. 이를 위해 2022개정교육과정에서는 ‘핵심 아이디어’를 새롭게 도입하여 간학문적 통합을 추구하고 심층적인 이해를 위한 개념 기반의 교수·학습 설계를 장려한다. 또한 융합 교과를 신설하여창의적인 융합형 인재를 양성하고자 하는 목표의식을 표명한다. 그러나 교육 현장에서는 융합교육의 실행에 있어서 예술 교과의 수단화에 대한 문제점이 지속적으로제기되고 있다. 이러한 문제의식을 바탕으로 본고에서는 첫째, 융합교육에서의 미술의역할을 재정립하고, 둘째, 일반화를 기반으로 하는 개념적 접근의 교수 설계의 가능성을탐색함으로써 타 영역과 미술의 동등한 상호작용이 가능한 융합교육의 방향성을모색한다. 또한 셋째, 범학문적 거시 개념을 개념적 렌즈로 선정하여 미술과, 사회과, 과학과의 내용을 연계한 개념적 접근의 융합교육 프로그램을 제안함으로써 학문의분절화를 완화하고 융