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Three-dimensional Optical-resolution Photoacoustic Microscopy
Published on: May 3, 2011
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
Summary
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.
- 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.
