YongKeun Park

发表

1 Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning

Minhee Kang, D. Chung, N. Lee, 2019 .

Chemotherapy confers a conserved secondary tolerance to EGFR inhibition via AXL-mediated signaling bypass

Roben Delos Reyes, Yoosik Kim, H. Ryu, 2021, Scientific Reports.

Three-dimensional refractive index distributions of individual angiosperm pollen grains

Yongkeun Park, Sangyun Lee, Geon Kim, 2018, bioRxiv.

Three-dimensional label-free imaging and analysis of Pinus pollen grains using optical diffraction tomography

YongKeun Park, Geon Kim, Seungwoo Shin, 2018, Scientific Reports.

Label-free non-invasive quantitative measurement of lipid contents in individual microalgal cells using refractive index tomography

YongKeun Park, Geon Kim, Moosung Lee, 2017, Scientific Reports.

Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network

Minhee Kang, D. Chung, N. Lee, 2022, Light: Science & Applications.

Optical diffraction tomography and image reconstruction to measure host cell alterations caused by divergent Plasmodium species.

Yongkeun Park, Rajesh Chandramohanadas, Jin-Hee Han, 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Interactions of Nanoparticles with Macrophages and Feasibility of Drug Delivery for Asthma

S. Kang, I. Park, Jeong-Hee Choi, 2022, International journal of molecular sciences.

Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network

Minhee Kang, D. Chung, N. Lee, 2022, Light: Science & Applications.

Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning

Eeksung Lee, Geon Kim, DongHun Ryu, 2023, bioRxiv.

Three-Dimensional Label-Free Imaging and Quantification of Migrating Cells during Wound Healing

W. Park, H. Hugonnet, Ariel J. Lee, 2020, bioRxiv.

RNA-mediated demixing transition of low-density condensates

Yongdae Shin, D. Hwang, Jaeyoon Yoo, 2023, Nature communications.

Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual unlabeled yeast cells using holotomography

Gabriel E. Neurohr, Sung Sik Lee, Moosung Lee, 2023, bioRxiv.

Cryobiopsy: A Breakthrough Strategy for Clinical Utilization of Lung Cancer Organoids

Jimin Choi, Jeong Eun Lee, Bosung Ku, 2023, Cells.

Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution

DongHun Ryu, Young Ki Lee, Hayoung Lee, 2023, Scientific reports.

Enhanced functionalities of immune cells separated by microfludic lattice: assessment based on holotomography

Byungyeon Kim, Geon Kim, YongKeun Park, 2023, bioRxiv.

Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality

Sangjeong Ahn, Jimyung Park, Jaehyeong Cho, 2021, Journal of personalized medicine.

Virtual biomarkers: predicting immune status using label-free holotomography of individual human monocytes and machine learning analysis

Geon Kim, Young Seo Kim, YongKeun Park, 2023, bioRxiv.

High-Fidelity 3D Imaging Achieved Through Multislice Electron Tomography Using 4D-STEM.

C. Ophus, Yongsoo Yang, Moosung Lee, 2023, Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada.