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