YoungJu Jo - Publications

Affiliations: 
Stanford University, Palo Alto, CA 

22 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Tajima S, Kim YS, Fukuda M, Jo Y, Wang PY, Paggi JM, Inoue M, Byrne EFX, Kishi KE, Nakamura S, Ramakrishnan C, Takaramoto S, Nagata T, Konno M, Sugiura M, et al. Structural basis for ion selectivity in potassium-selective channelrhodopsins. Cell. PMID 37652010 DOI: 10.1016/j.cell.2023.08.009  0.654
2023 Hsueh B, Chen R, Jo Y, Tang D, Raffiee M, Kim YS, Inoue M, Randles S, Ramakrishnan C, Patel S, Kim DK, Liu TX, Kim SH, Tan L, Mortazavi L, et al. Cardiogenic control of affective behavioural state. Nature. PMID 36859543 DOI: 10.1038/s41586-023-05748-8  0.675
2022 Sylwestrak EL, Jo Y, Vesuna S, Wang X, Holcomb B, Tien RH, Kim DK, Fenno L, Ramakrishnan C, Allen WE, Chen R, Shenoy KV, Sussillo D, Deisseroth K. Cell-type-specific population dynamics of diverse reward computations. Cell. 185: 3568-3587.e27. PMID 36113428 DOI: 10.1016/j.cell.2022.08.019  0.495
2022 Kim G, Ahn D, Kang M, Park J, Ryu D, Jo Y, Song J, Ryu JS, Choi G, Chung HJ, Kim K, Chung DR, Yoo IY, Huh HJ, Min HS, et al. Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network. Light, Science & Applications. 11: 190. PMID 35739098 DOI: 10.1038/s41377-022-00881-x  0.476
2021 Jo Y, Cho H, Park WS, Kim G, Ryu D, Kim YS, Lee M, Park S, Lee MJ, Joo H, Jo H, Lee S, Lee S, Min HS, Heo WD, et al. Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning. Nature Cell Biology. PMID 34876684 DOI: 10.1038/s41556-021-00802-x  0.525
2020 Lee M, Lee YH, Song J, Kim G, Jo Y, Min H, Kim CH, Park Y. Deep-learning based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells. Elife. 9. PMID 33331817 DOI: 10.7554/eLife.49023  0.552
2020 Chang T, Ryu D, Jo Y, Choi G, Min HS, Park Y. Calibration-free quantitative phase imaging using data-driven aberration modeling. Optics Express. 28: 34835-34847. PMID 33182943 DOI: 10.1364/OE.412009  0.514
2020 Park S, Ahn JW, Jo Y, Kang HY, Kim HJ, Cheon Y, Kim JW, Park Y, Lee S, Park K. Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs. Acs Nano. PMID 31909985 DOI: 10.1021/Acsnano.9B07993  0.569
2019 Ryu D, Jo Y, Yoo J, Chang T, Ahn D, Kim YS, Kim G, Min HS, Park Y. Deep learning-based optical field screening for robust optical diffraction tomography. Scientific Reports. 9: 15239. PMID 31645595 DOI: 10.1038/S41598-019-51363-X  0.509
2019 Choi G, Ryu D, Jo Y, Kim YS, Park W, Min HS, Park Y. Cycle-consistent deep learning approach to coherent noise reduction in optical diffraction tomography. Optics Express. 27: 4927-4943. PMID 30876102 DOI: 10.1364/Oe.27.004927  0.506
2019 Jo Y, Cho H, Lee SY, Choi G, Kim G, Min H, Park Y. Quantitative Phase Imaging and Artificial Intelligence: A Review Ieee Journal of Selected Topics in Quantum Electronics. 25: 1-14. DOI: 10.1109/Jstqe.2018.2859234  0.494
2019 Lee J, Kim H, Cho H, Jo Y, Song Y, Ahn D, Lee K, Park Y, Ye SJ. Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms Ieee Access. 7: 83449-83460. DOI: 10.1109/Access.2019.2924255  0.529
2018 Yoon J, Jo Y, Kim YS, Yu Y, Park J, Lee S, Park WS, Park Y. Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning. Journal of Visualized Experiments : Jove. PMID 30507910 DOI: 10.3791/58305  0.51
2018 Kim G, Jo Y, Cho H, Min HS, Park Y. Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells. Biosensors & Bioelectronics. 123: 69-76. PMID 30321758 DOI: 10.1016/J.Bios.2018.09.068  0.503
2017 Jo Y, Park S, Jung J, Yoon J, Joo H, Kim MH, Kang SJ, Choi MC, Lee SY, Park Y. Holographic deep learning for rapid optical screening of anthrax spores. Science Advances. 3: e1700606. PMID 28798957 DOI: 10.1126/Sciadv.1700606  0.542
2017 Yoon J, Jo Y, Kim MH, Kim K, Lee S, Kang SJ, Park Y. Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning. Scientific Reports. 7: 6654. PMID 28751719 DOI: 10.1038/S41598-017-06311-Y  0.561
2016 Yu H, Lee P, Jo Y, Lee K, Tuchin VV, Jeong Y, Park Y. Collaborative effects of wavefront shaping and optical clearing agent in optical coherence tomography. Journal of Biomedical Optics. 21: 121510. PMID 27792807 DOI: 10.1117/1.JBO.21.12.121510  0.469
2015 Jo Y, Jung J, Kim MH, Park H, Kang SJ, Park Y. Label-free identification of individual bacteria using Fourier transform light scattering. Optics Express. 23: 15792-805. PMID 26193558 DOI: 10.1364/Oe.23.015792  0.45
2015 Jo YJ, Jung JH, Kim MH, Park HJ, Kang SJ, Park YK. Label-free identification of individual bacteria using Fourier transform light scattering Optics Express. 23: 15792-15805. DOI: 10.1364/OE.23.015792  0.455
2014 Jo Y, Jung J, Lee JW, Shin D, Park H, Nam KT, Park JH, Park Y. Angle-resolved light scattering of individual rod-shaped bacteria based on Fourier transform light scattering. Scientific Reports. 4: 5090. PMID 24867385 DOI: 10.1038/Srep05090  0.441
2014 Jo Y, Jung J, Park H, Park Y. Single-Bacterial Profiling and Identification Based on Quantitative Phase Imaging Biophysical Journal. 106: 604a. DOI: 10.1016/J.Bpj.2013.11.3342  0.505
2013 Lee K, Kim K, Jung J, Heo J, Cho S, Lee S, Chang G, Jo Y, Park H, Park Y. Quantitative phase imaging techniques for the study of cell pathophysiology: from principles to applications. Sensors (Basel, Switzerland). 13: 4170-91. PMID 23539026 DOI: 10.3390/S130404170  0.51
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