Mr. YoungJu Jo Profile

YoungJu Jo

Graduate Student at Stanford Univ

Area of Expertise:

Quantitative Phase Imaging , Holographic Microscopy , Neuroscience , Machine Learning , Deep Learning , Optogenetics

Websites:

Personal Website

Publications (5)

Proceedings Article | 16 March 2023 Presentation

Rapid identification of individual bacterial pathogens using three-dimensional quantitative phase imaging and artificial neural network (Conference Presentation)

Geon Kim, Daewoong Ahn, Minhee Kang, Jinho Park, DongHun Ryu, YoungJu Jo, Jinyeop Song, Jea Sung Ryu, Gunho Choi, Hyun Jung Chung, Kyuseok Kim, Doo Ryeon Chung, In Young Yoo, Hee Jae Huh, Hyun-seok Min, Nam Yong Lee, YongKeun Park

Proceedings Volume PC12389, PC1238908 (2023) https://doi.org/10.1117/12.2654641

KEYWORDS: Pathogens, Phase imaging, Artificial neural networks, 3D metrology, 3D image processing, Mass spectrometry, Biomedical optics, Standards development, Refractive index, Profiling

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Proceedings Article | 2 March 2022 Presentation

Conferring biochemical specificity on quantitative phase imaging

YoungJu Jo

Proceedings Volume PC11970, PC119700F (2022) https://doi.org/10.1117/12.2617440

KEYWORDS: Phase imaging, Luminescence, Biomedical optics, Refractive index, Microscopy, Machine vision, Machine learning, Image processing, Blood, Biomedical engineering

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Proceedings Article | 11 March 2020 Presentation

Deep learning framework enables 3D label-free tracking of immunological synapse using optical diffraction tomography (Conference Presentation)

Moosung Lee, Young-Ho Lee, Jinyeop Song, Geon Kim, YoungJu Jo, HyunSeok Min, Chan Hyuk Kim, YongKeun Park

Proceedings Volume 11249, 112490Y (2020) https://doi.org/10.1117/12.2551132

KEYWORDS: Diffraction, Optical tomography, Tomography, Optical tracking, Microscopy, 3D image processing, Stereoscopy, Image resolution, Electron microscopy, Super resolution microscopy

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Proceedings Article | 15 March 2018 Presentation

Artificial intelligence and quantitative phase imaging (Conference Presentation)

YongKeun Park, YoungJu Jo

Proceedings Volume 10503, 105030K (2018) https://doi.org/10.1117/12.2295807

KEYWORDS: Artificial intelligence, Phase imaging, Machine learning, Evolutionary algorithms, 3D metrology, Tomography, Image classification, Microorganisms, Tissues, Refractive index

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SPIE Journal Paper | 28 October 2016 Open Access

Collaborative effects of wavefront shaping and optical clearing agent in optical coherence tomography

Hyeonseung Yu, Peter Lee, YoungJu Jo, KyeoReh Lee, Valery Tuchin, Yong Jeong, YongKeun Park

JBO, Vol. 21, Issue 12, 121510, (October 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.12.121510

KEYWORDS: Wavefronts, Optical coherence tomography, Tissues, Tissue optics, Scattering, Light scattering, Digital micromirror devices, Ear, Optical clearing, Refractive index

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