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Cytometry of Single Cell in Biology and Medicine

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Handbook of Single Cell Technologies

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Abstract

It has been a very long time for human to understand the physiological processes related to health, disease, and death. Cell is the basic elementary building block of life. However, no two cells are exactly the same. In order to understand the heterogeneity and complexity of the biological system, statistical analysis has to be conducted on the single-cell level, and the corresponding high-precision instruments have to be used for investigating on the cellular level. Cytometry including flow cytometry and image cytometry is an advanced technology in sensitive single-cell analysis, and it has the capabilities in detection with high sensitivity, high throughput, and high content. Sorting, sample handling, and even sequencing could also be integrated for further analysis for modern cytometry. Recently, microfluidic-based cytometry with smaller size, higher throughput, and multifunctions starts to find its way in single-cell analysis. Because of these unique advantages, single-cell cytometry has wide applications in basic researches of biology process and drug discovery to understand the cell heterogeneity and complexity. This chapter will give a brief introduction of single-cell cytometry and its applications in biology and medicine.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61904021) and Fundamental Research Funds for the Central Universities (2018CDGFGD0010 and 2018CDXYGD0017).

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Authors and Affiliations

  1. College of Optoelectronic Engineering, Chongqing University, Chongqing, China

    Shunbo Li

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  1. Shunbo Li
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Correspondence to Shunbo Li .

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Editors and Affiliations

  1. Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India

    Tuhin Subhra Santra

  2. Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan

    Fan-Gang Tseng

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Li, S. (2020). Cytometry of Single Cell in Biology and Medicine. In: Santra, T., Tseng, FG. (eds) Handbook of Single Cell Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-4857-9_24-1

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  • DOI: https://doi.org/10.1007/978-981-10-4857-9_24-1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4857-9

  • Online ISBN: 978-981-10-4857-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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