Article type: Research Article
Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning
Yoonjae Chung1,2, Geon Kim2,3, Ah-Rim Moon4, DongHun Ryu2,9, Herve Hugonnet2,3, Mahn Jae Lee5, DongSeong Shin6, Seung-Jae Lee7, Eek-Sung Lee7*, and YongKeun Park2,8*
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1 Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
2 Department of Physics, KAIST, Daejeon, 34141, Republic of Korea
3 KAIST Institute for Health Science and Technology, KAIST, Daejeon, 34141, Republic of Korea
4 Department of Pathology, Soonchunhyang University School of Medicine, Bucheon, 14584, Republic of Korea
5 Graduate School of Medical Science and Engineering, KAIST, Daejeon,34141, Republic of Korea
6 Department of Neurosurgery, Soonchunhyang University Hospital Bucheon, Bucheon, 14584, Republic of Korea
7 Department of Neurology, Soonchunhyang University School of Medicine, Bucheon, 14584, Republic of Korea
8 Tomocube Inc., Daejeon, 34109, Republic of Korea
9 Currently with the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
*Correspondence
Eek-Sung Lee, Department of Neurology, Soonchunhyang University School of Medicine, Bucheon, 14584, Republic of Korea
Email: eeksung@gmail.com
YongKeun Park, Department of Physics, KAIST, Daejeon, 34141, Republic of Korea
Email: yk.park@kaist.ac.kr