Journal of Innovative Optical Health Sciences, Volume. 16, Issue 3, 2330005(2023)

Detection of cells by flow cytometry: Counting, imaging, and cell classification

Yingsi Yu1, Yimei Zheng1, Caizhong Guan1, Min Yi1, Yunzhao Chen1, Yaguang Zeng1, Honglian Xiong1, Xuehua Wang1, Junping Zhong1, Wenzheng Ding1, Mingyi Wang1、*, and Xunbin Wei1,2
Author Affiliations
  • 1Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent, Micro-Nano Optoelectronic Technology, School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528225, P. R. China
  • 2Department of Biomedical Engineering, Peking University, Beijing 100081, P. R. China
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    The study of circulating cells in the blood stream is critical, as it covers many fields of biomedicine, including immunology, cell biology, oncology, and reproductive medicine. In-vivo flow cytometry (IVFC) is a new tool to monitor and count cells in real time for long durations in their native biological environment. This review describes two main categories of IVFC, i.e., labeled and label-free IVFC. It focuses on label-free IVFC and introduces its technological development and related biological applications. Because cell recognition is the basis of flow cytometry counting, this review also describes various methods for the classification of unlabeled cells, including the latest machine learning-based technologies.

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    Yingsi Yu, Yimei Zheng, Caizhong Guan, Min Yi, Yunzhao Chen, Yaguang Zeng, Honglian Xiong, Xuehua Wang, Junping Zhong, Wenzheng Ding, Mingyi Wang, Xunbin Wei. Detection of cells by flow cytometry: Counting, imaging, and cell classification[J]. Journal of Innovative Optical Health Sciences, 2023, 16(3): 2330005

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    Paper Information

    Category: Research Articles

    Received: Jul. 31, 2022

    Accepted: Feb. 15, 2023

    Published Online: May. 25, 2023

    The Author Email: Wang Mingyi (wangmingyi@mail.bnu.edu.cn)

    DOI:10.1142/S1793545823300057

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