Our perspective was published in Nature Methods which explores the integration of Artificial Intelligence with Quantitative Phase Imaging for advancing life sciences.
Research Highlight
Our preprint on holotomography measurements of live organoids was featured in ChosunBiz.
https://www.biorxiv.org/content/10.1101/2023.09.16.558039v1
The 3rd Quantitative Phase Imaging Symposium
On 15 Mar, we host a hybrid symposium on quantitative phase imaging. Six invited speakers will give presentations, and we will discuss recent developments and findings in the field of quantitative phase imaging, ranging from advances in optical imaging and analysis to phase separation and cell dynamics. We will also have a poster session, and we look forward to seeing many exciting updates from research groups.
Invited speakers: (Keynote) Prof. Qionghai Dai, Tsinghua University, Prof. Dong Soo Hwang, POSTECH, Prof. Yongdae Shin, Seoul National University, Prof. Kevin K Tsia, The University of Hong Kong, Prof. Jinju Han, KAIST, Prof. Ki-Jun Yoon, KAIST
Registration (in-person) | Registration (on-line) | Program | Information |
Organizers
Seung Ah Lee, Assistant Professor, School of Electrical and Electronic Engineering, Yonsei University
Renjie Zhou, Assistant Professor, The Chinese University of Hong Kong
YongKeun (Paul) Park, Endowed Chair Professor, Department of Physics, KAIST
Lab introduced by Korean Academy of Science
Please visit the following link for virtual tour to the lab
http://labs.kast.or.kr/kr/physics2/index.html
Award
Youngju Jo received the 2022 Agarwal Award for this work “Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning” https://www.nature.com/articles/s41556-021-00802-x
Research summary
Shin S, Eun J, Lee SS, Lee C, Hugonnet H, Yoon DK, Kim SH, Jeong J, Park YK, Nature Materials, 2022
https://www.nature.com/articles/s41563-022-01202-8
Research summary
https://opg.optica.org/ol/fulltext.cfm?uri=ol-47-5-1025