An integrated opto-microfluidic device for microflow cytometry

Yingkai Lyu; Jianan Yin; Yuanshuai Zhu; Yuchen Fu; Andrew Glidle; Hitoshi Furusho; Tianxin Yang; Huabing Yin

doi:10.1117/12.2575500

5 March 2021 An integrated opto-microfluidic device for microflow cytometry

Yingkai Lyu, Jianan Yin, Yuanshuai Zhu, Yuchen Fu, Andrew Glidle, Hitoshi Furusho, Tianxin Yang, Huabing Yin

Proceedings Volume 11663, Integrated Sensors for Biological and Neural Sensing; 116630X (2021) https://doi.org/10.1117/12.2575500
Event: SPIE BiOS, 2021, Online Only

Conference Poster

Abstract

Microflow cytometry has become an attractive tool for counting and analysis of complex cell population and finds many applications in life science research. However, its implementation in screening small sized targets, such as microorganisms, is limited by challenges associated with sample handling and detection in a flow. Here, we report the function of a 3D flow focusing microfluidic system as a high performance, multi-parameter flow cytometry. The system consists of a detection chamber that can precisely control a highly focused sample flow in 3D and an integrated optical fiber to collect the scattered light at the vertical plane. The ability of the system to detect small beads (1 µm), differentiate subtle differences (2 µm) and accurately profile a mixed bead population is demonstrated. Furthermore, multiple types of information about the sample, including the inherent biochemical information (e.g., fluorescence or Raman signal) and physical properties (e.g., size) are simultaneously generated, allowing sophisticated cellular analysis. Together with the facile and robust operation, this provides a versatile tool that could be used for multi-parametric analyses in a diversity of applications.

Conference Presentation

Citation Download Citation

Yingkai Lyu, Jianan Yin, Yuanshuai Zhu, Yuchen Fu, Andrew Glidle, Hitoshi Furusho, Tianxin Yang, and Huabing Yin "An integrated opto-microfluidic device for microflow cytometry", Proc. SPIE 11663, Integrated Sensors for Biological and Neural Sensing, 116630X (5 March 2021); https://doi.org/10.1117/12.2575500

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