Large-scale acoustic single cell trapping and selective releasing

Abstract

Recent advancements in single-cell analysis have underscored the need for precise isolation and manipulation of individual cells. Traditional techniques for single-cell manipulation are often limited by the number of cells that can be parallel trapped and processed and usually require complex devices or instruments to operate. Here, we introduce an acoustic microfluidic platform that efficiently traps and selectively releases individual cells using spherical air cavities embedded in a polydimethylsiloxane (PDMS) substrate for large scale manipulation. Our device utilizes the principle of acoustic impedance mismatches to generate near-field acoustic potential gradients that create trapping sites for single cells. These single cell traps can be selectively disabled by illuminating a near-infrared laser pulse, allowing targeted release of trapped cells. This method ensures minimal impact on cell viability and proliferation, making it ideal for downstream single-cell analysis. Experimental results demonstrate our platform's capability to trap and release synthetic microparticles and biological cells with high efficiency and biocompatibility. Our device can handle a wide range of cell sizes (8–30 μm) across a large active manipulation area of 1 cm2 with 20 000 single-cell traps, providing a versatile and robust platform for single-cell applications. This acoustic microfluidic platform offers a cost-effective and practical method for large scale single-cell trapping and selective releasing with potential applications in genomics, proteomics, and other fields requiring precise single-cell manipulation.

Graphical abstract: Large-scale acoustic single cell trapping and selective releasing

Supplementary files

Article information

Article type
Paper
Submitted
04 Sep 2024
Accepted
15 Jan 2025
First published
22 Jan 2025

Lab Chip, 2025, Advance Article

Large-scale acoustic single cell trapping and selective releasing

X. Zhang, J. Smith, A. C. Zhou, J. T. Duong, T. Qi, S. Chen, Y. Lin, A. Gill, C. Lo, N. Y. C. Lin, J. Wen, Y. Lu and P. Chiou, Lab Chip, 2025, Advance Article , DOI: 10.1039/D4LC00736K

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