Cost-effective microfluidic flow cytometry for precise and gentle cell sorting

Abstract

Microfluidic flow cytometry (MFCM) is considered to be an effective substitute for traditional flow cytometry, because of its advantages in terms of higher integration, smaller device size, lower cost, and higher cell sorting activity. However, MFCM still faces challenges in balancing parameters such as sorting throughput, viability, sorting efficiency, and cost. Here, we demonstrate a cost-effective and high-performance microfluidic cytometry cell sorting system, along with a customized microfluidic chip that integrates hydrodynamic focusing, droplet encapsulation, and sorting for precise cell manipulation. An innovative photon incremental counting-based fluorescence detection method is proposed, which requires only one-fiftieth of the data compared to traditional methods. This significantly simplifies the structure of the system and substantially reduces costs. The system exhibits detection recoveries exceeding 95% across sample solution flow rates ranging from 10 to 80 μL min−1. Moreover, it accurately achieves individual droplet deflections at a droplet generation frequency of 1600 Hz. Ultimately, our cell sorting system offers an impressive sorting efficiency of 90.7% and a high cell viability of 94.3% when operating at a droplet generation frequency of 1316 Hz, highlighting its accuracy and gentleness throughout the entire process. Our work will enhance advances in the life sciences, thereby creating a boom in great applications in single-cell cloning, single-cell analysis, drug screening, etc.

Graphical abstract: Cost-effective microfluidic flow cytometry for precise and gentle cell sorting

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Article information

Article type
Paper
Submitted
24 Oct 2024
Accepted
20 Jan 2025
First published
30 Jan 2025

Lab Chip, 2025, Advance Article

Cost-effective microfluidic flow cytometry for precise and gentle cell sorting

C. Yang, C. He, H. Zhuo, J. Wang, T. Yong, L. Gan, X. Yang, L. Nie, S. Xi, Z. Liu, G. Liao and T. Shi, Lab Chip, 2025, Advance Article , DOI: 10.1039/D4LC00900B

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