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Integrated Opto-Acoustofluidic Sorter with Data-Efficient Digital Photon Counting.

Xian Jiang1, Fan Li1, Leyan Li2

  • 1School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.

Analytical Chemistry
|June 30, 2026
PubMed
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We developed an integrated acoustofluidic cell sorter using focused traveling surface acoustic waves (FTSAW) and photon counting. This novel system simplifies operation and reduces data burden for high-purity single-cell analysis.

Area of Science:

  • Biotechnology
  • Microfluidics
  • Optical Engineering

Background:

  • Conventional fluorescence-activated cell sorting (FACS) requires complex optical alignment and high-rate analog data acquisition.
  • Existing systems present challenges in terms of operational complexity and data handling for single-cell analysis.

Purpose of the Study:

  • To develop an integrated acoustofluidic cell sorter that simplifies operation and reduces data acquisition burden.
  • To demonstrate a novel system combining focused traveling surface acoustic wave (FTSAW) actuation, on-chip fiber optics, and digital photon counting for enhanced cell sorting.

Main Methods:

  • Integration of focused traveling surface acoustic wave (FTSAW) actuation with an on-chip fiber-optic interface.
  • Implementation of event-level digital photon counting with a 10 kHz sampling frequency for software-defined data acquisition.

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  • Utilized a high signal-to-noise ratio exceeding 23 dB for accurate cell sorting.

    • Main Results:

    • Achieved 93.8% purity in sorting fluorescent microspheres at a throughput of up to 2 kHz.
    • Successfully separated Haematococcus pluvialis from Chlorella vulgaris with 92.6% purity, maintaining cell integrity and metabolic activity.
    • Demonstrated reduced optical alignment requirements and lower acquisition burden through chip integration and photon counting.

    Conclusions:

    • The integrated acoustofluidic sorter offers a practical foundation for developing compact and user-friendly single-cell analysis platforms.
    • The system's design addresses key limitations of conventional FACS, including complex alignment and high data rates.
    • This technology holds potential for advancing accessible and efficient cell sorting applications in research and diagnostics.