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Immunology and Infection
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用三维定量相位成像和机器学习技术对淋巴细胞亚型进行无标签鉴定
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Immunology and Infection
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JoVE Journal
Immunology and Infection
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
Please note that all translations are automatically generated.
Click here for the English version.
用三维定量相位成像和机器学习技术对淋巴细胞亚型进行无标签鉴定
DOI:
10.3791/58305-v
•
08:58 min
•
November 19, 2018
•
Jonghee Yoon
,
YoungJu Jo
3,4,7
,
Young Seo Kim
4,5
,
Yeongjin Yu
3
,
Jiyeon Park
,
Sumin Lee
,
Wei Sun Park
3
,
YongKeun Park
3,4
1
Department of Physics
,
University of Cambridge
,
2
Department of Physics
,
Korea Advanced Institute of Science and Technology
,
3
KAIST Institute for Health Science and Technology
,
Korea Advanced Institute of Science and Technology
,
4
Tomocube, Inc.
,
5
Department of Chemical and Biomolecular Engineering
,
Korea Advanced Institute of Science and Technology
,
6
Department of Biological Sciences
,
Korea Advanced Institute of Science and Technology
,
7
Department of Applied Physics
,
Stanford University
Chapters
00:04
Title
01:17
3D Quantitative Phase Imaging
04:34
Quantitative Morphological and Biochemical Feature Extraction and Supervised Learning and Identification
06:42
Results: Representative Label-Free Lymphocyte Subtype 3D Phase Imaging Identification
07:56
Conclusion
Summary
Automatic Translation
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Automatic Translation
我们描述了一种使用定量相位成像和机器学习算法对淋巴细胞亚型进行无标签识别的协议。对淋巴细胞三维折射率图的测量为单个细胞提供了三维形态和生化信息, 然后用机器学习算法进行分析, 以识别细胞类型。
Tags
Label-free
Lymphocyte Subtypes
3D Quantitative Phase Imaging
Machine Learning
Fluorescence Labeling
Flow Cytometry
Refractive Index Tomography
Blood Cancer
Autoimmune Disease
Single-cell Analysis
Bacteria
3D Quantitative Phase Microscope
RPMI Medium
Digital Micromirror Device
3D Reconstruction
Article
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