journal article·2025-03-12Open access

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

Simon Göllner, Melanie Colditz, Yishu Huang, Hagen Schmidt, Andreas Winkler, Andre C. Stiel

ACS Applied Materials & Interfaces· Volume 17· Issue 10

Abstract

Sensitive measurement of the optoacoustic (OA, also photoacoustic) properties of cells in flow is highly desirable, as it provides information about the optical absorption properties of cellular compounds. Hence, optoacoustic spectral characteristics can deliver information about the cell state or disease parameters, but can also be used for high-throughput cell sorting by intrinsic properties without additional fluorescence labeling. The current implementation of optoacoustic measurements of cells in a microfluidic context typically relies on piezoelectric (ultrasound) transducers attached to the microfluidic chip, whereby the transducer records the ultrasound signal originating from absorbing species in cells when excited by laser pulses. The arrangement of the transducer outside of the microfluidic chip leads to the challenge of signal integration over a larger area and coupling interlayer effects resulting in attenuation and a reduction of sensitivity. Moreover, the placement of the bulky transducer outside of the chip prevents the exploitation of the full advantages of microfluidics. As a solution, we demonstrate the use of point-source optimized interdigital transducers (pIDTs) directly fabricated on the surface of the microfluidic chip for the detection of surface acoustic waves (SAW) from single cells in continuous flow. The SAW is excited by bulk acoustic waves originating from the optoacoustic effect of absorbing species inside the cells illuminated by laser light. The use of these highly focused pIDTs and on-chip lithographically fabricated hard-wall microchannels allows the detection of SAW with a spatial resolution on the order of the cell diameter directly on-chip, offering the possibility of miniaturization, parallelization, and cheap mass production.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Photoacoustic and Ultrasonic Imaging · Analytical Chemistry and Sensors · Biosensors and Analytical Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Biological and Medical Imaging

Helmholtz Zentrum München

Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology

Technical University of Munich

Leibniz Institute for Solid State and Materials Research

SAWLab Saxony

Protein Engineering for Superresolution Microscopy Lab

University of Regensburg

Funding

Bundesministerium für Bildung und Forschung · H2020 European Research Council

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