Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
12.4K Views
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08:58 min
•
November 19th, 2018
DOI :
November 19th, 2018
•Jonghee Yoon1, YoungJu Jo2,3,4,7, Young Seo Kim3,4,5, Yeongjin Yu2,3, Jiyeon Park6, Sumin Lee4, Wei Sun Park2,3, YongKeun Park2,3,4
1Department of Physics, University of Cambridge, 2Department of Physics, Korea Advanced Institute of Science and Technology, 3KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology, 4Tomocube, Inc., 5Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 6Department of Biological Sciences, Korea Advanced Institute of Science and Technology, 7Department of Applied Physics, Stanford University
Chapters in this video
0:04
Title
1:17
3D Quantitative Phase Imaging
4:34
Quantitative Morphological and Biochemical Feature Extraction and Supervised Learning and Identification
6:42
Results: Representative Label-Free Lymphocyte Subtype 3D Phase Imaging Identification
7:56
Conclusion
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