Deep Learning of Morphologic Correlations To Accurately Classify CD4+ and CD8+ T Cells by Diffraction Imaging Flow Cytometry-Reference-Cited by-同舟云学术

Deep Learning of Morphologic Correlations To Accurately Classify CD4+ and CD8+ T Cells by Diffraction Imaging Flow Cytometry

Published:2022-01-10 Issue:3 Volume:94 Page:1567-1574
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Zhao Lin¹²³^ORCID,Tang Liwen¹³,Greene Marion S.²,Sa Yu⁴,Wang Wenjin¹⁵,Jin Jiahong¹²⁵,Hong Heng⁶,Lu Jun Q.¹²,Hu Xin-Hua¹²^ORCID

Affiliation:

1. Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China

2. Department of Physics, East Carolina University, Greenville, North Carolina 27858, United States

3. School of Information Science & Technology, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China

4. Department of Biomedical Engineering, Tianjin University, Tianjin 300072, China

5. School of Physics & Electronic Science, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China

6. Department of Pathology and Comparative Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina 27109, United States

Funder

Hunan Provincial Science and Technology Department

Education Department of Hunan Province

Office of the Director

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c03337

Reference40 articles.

1. Mechanosensing in T Lymphocyte Activation

2. Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning

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4. Is there a difference between T- and B-lymphocyte morphology?

5. Non-activated T and B lymphocytes become morphologically distinguishable after detergent treatment

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