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Article

Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification

1
Institute of Laser Engineering, Beijing University of Technology, Beijing 100124, China
2
Key Laboratory of Trans-Scale Laser Manufacturing Technology (Beijing University of Technology), Ministry of Education, Beijing 100124, China
3
Beijing Key Laboratory of Environmental & Viral Oncology, College of Life Science & Bioengineering, Beijing University of Technology, Beijing 100124, China
4
LAAS-CNRS, Université de Toulouse, CNRS, INP, 31062 Toulouse, France
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(2), 478; https://doi.org/10.3390/app10020478
Received: 16 December 2019 / Revised: 7 January 2020 / Accepted: 8 January 2020 / Published: 9 January 2020
(This article belongs to the Section Applied Physics)
In this paper, we present a novel optical microfluidic cytometry scheme for label-free detection of cells that is based on the self-mixing interferometry (SMI) technique. This device enables simple, fast and accurate detection of the individual cell characteristics and efficient cell type classification. We also propose a novel parameter to classify the cell or particle size. Artificial polystyrene beads and human living cells were measured using this system, and the SMI signal properties were statistically evaluated. The capability of the proposed cytometer for cell type discrimination and size classification has been validated by the measurement results. Our study can provide a very simple technique for cell enumeration and classification without any extra devices such as high-speed camera, photomultiplier and spectrometer. Moreover, the fluorescence staining operation which is necessary in traditional flow cytometry methods is not required either in our system. View Full-Text
Keywords: self-mixing interferometry; microfluidic chip; hydrodynamic focusing; flow cytometry; label-free self-mixing interferometry; microfluidic chip; hydrodynamic focusing; flow cytometry; label-free
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MDPI and ACS Style

Zhao, Y.; Shen, X.; Zhang, M.; Yu, J.; Li, J.; Wang, X.; Perchoux, J.; Moreira, R.d.C.; Chen, T. Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification. Appl. Sci. 2020, 10, 478. https://doi.org/10.3390/app10020478

AMA Style

Zhao Y, Shen X, Zhang M, Yu J, Li J, Wang X, Perchoux J, Moreira RdC, Chen T. Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification. Applied Sciences. 2020; 10(2):478. https://doi.org/10.3390/app10020478

Chicago/Turabian Style

Zhao, Yu, Xuefei Shen, Menglei Zhang, Jingwen Yu, Jintao Li, Xiuhong Wang, Julien Perchoux, Raul d.C. Moreira, and Tao Chen. 2020. "Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification" Applied Sciences 10, no. 2: 478. https://doi.org/10.3390/app10020478

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