YoungJu Jo
Affiliations: | Stanford University, Palo Alto, CA |
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Parents
Sign in to add mentor| YongKeun Park | research assistant | 2012-2018 | KAIST (BME Tree) |
| Karl Deisseroth | grad student | 2018- | Stanford |
| David Sussillo | grad student | 2018- | Stanford |
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Publications
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| Tajima S, Kim YS, Fukuda M, et al. (2023) Structural basis for ion selectivity in potassium-selective channelrhodopsins. Cell |
| Hsueh B, Chen R, Jo Y, et al. (2023) Cardiogenic control of affective behavioural state. Nature |
| Sylwestrak EL, Jo Y, Vesuna S, et al. (2022) Cell-type-specific population dynamics of diverse reward computations. Cell. 185: 3568-3587.e27 |
| Kim G, Ahn D, Kang M, et al. (2022) 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 |
| Jo Y, Cho H, Park WS, et al. (2021) Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning. Nature Cell Biology |
| Lee M, Lee YH, Song J, et al. (2020) Deep-learning based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells. Elife. 9 |
| Chang T, Ryu D, Jo Y, et al. (2020) Calibration-free quantitative phase imaging using data-driven aberration modeling. Optics Express. 28: 34835-34847 |
| Park S, Ahn JW, Jo Y, et al. (2020) Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs. Acs Nano |
| Ryu D, Jo Y, Yoo J, et al. (2019) Deep learning-based optical field screening for robust optical diffraction tomography. Scientific Reports. 9: 15239 |
| Choi G, Ryu D, Jo Y, et al. (2019) Cycle-consistent deep learning approach to coherent noise reduction in optical diffraction tomography. Optics Express. 27: 4927-4943 |