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Chip-Based Optoacoustic Single-Cell Detection in Flow Using Point-Source Optimized Surface Acoustic Wave Transducers.

Simon Göllner^1,2, Melanie Colditz³, Yishu Huang^1,2

¹Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Bavaria 85764, Germany.

ACS Applied Materials & Interfaces

|February 25, 2025

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This summary is machine-generated.

Sensitive optoacoustic (OA) measurements of cells in flow are improved using on-chip point-source optimized interdigital transducers (pIDTs). This method enhances detection of surface acoustic waves (SAW) from single cells, enabling miniaturization and high-throughput analysis.

Area of Science:

Biomedical optics
Microfluidics
Acoustics

Background:

Optoacoustic (OA) measurements provide cellular optical absorption information for disease diagnostics and cell sorting.
Current methods using external piezoelectric transducers suffer from signal attenuation and reduced sensitivity.
External transducer placement limits microfluidic integration and miniaturization.

Purpose of the Study:

To develop a novel on-chip optoacoustic detection method for single cells in flow.
To overcome limitations of external transducer-based OA measurements in microfluidics.
To enhance spatial resolution and sensitivity for cellular analysis.

Main Methods:

Fabrication of point-source optimized interdigital transducers (pIDTs) directly on microfluidic chips.

Keywords:

interdigital transducers microfluidics opto-/photoacoustic single cell measurements surface acoustic waves

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Excitation of surface acoustic waves (SAW) via laser-induced optoacoustic effect in cells.

Detection of SAW using on-chip pIDTs in hard-wall microchannels.

Main Results:

Demonstrated direct on-chip detection of SAW from single cells in continuous flow.
Achieved high spatial resolution on the order of cell diameter.
Enabled sensitive measurement of optoacoustic properties without external transducers.

Conclusions:

On-chip pIDTs offer a miniaturized, sensitive, and high-resolution solution for optoacoustic cell analysis.
This approach facilitates parallelization and cost-effective mass production of OA microfluidic devices.
The technology holds promise for label-free, high-throughput cell sorting and diagnostics.