Detail View

Title
Streamlining the cell flow: Feasibility of acoustically driven cell alignment for in vivo flow cytometry
Issued Date
2025-12
Citation
Sensors and Actuators, A: Physical, v.395
Type
Article
Author Keywords
In vivo flow cytometryUltrasound transducersAcoustic radiation forcesCell alignmentCirculating tumor cells
Keywords
CANCER-CELLSMICROPARTICLESMANIPULATIONTECHNOLOGIESTRACKINGMALARIA
ISSN
0924-4247
Abstract

In vivo flow cytometry (IVFC) utilizes blood vessels as natural conduits for real-time and noninvasive monitoring of circulating cells. However, conventional IVFC systems are primarily limited to superficial vessels, restricting analytical throughput and diagnostic sensitivity. Here, we propose a novel acoustic-based cell alignment strategy that allows IVFC to be applied in a broader range of vascular locations. We developed a dual ultrasound transducer (DUST) system in which two transducers are positioned face-to-face at the same angle. This configuration generates an interference-based acoustic field containing periodically arranged pressure nodes and antinodes within the vessel. The resulting field aligns flowing cells into multiple parallel streamlines, concentrating their movement within a confined region and enhancing the consistency and efficiency of signal detection. Blood vessel mimicking phantom experiments demonstrated that a dual ultrasound (DUS) enables stable multiple parallel streamlines of microbeads in a vessel while maintaining uniform flow velocity. Furthermore, fluorescent beads modeling rare cells exhibited approximately a 9-fold increase in signal-to-noise ratio (SNR) under DUS application compared to the non-aligned condition. Signal intensity fluctuations at the detection point were also significantly reduced, enabling more stable and reliable signal analysis. This approach demonstrates strong potential for highly sensitive, single-cell-level diagnostics in vivo. It also enables seamless integration with photoacoustic or fluorescence-based detection systems for future multimodal single-cell analysis.

더보기
URI
https://scholar.dgist.ac.kr/handle/20.500.11750/59877
DOI
10.1016/j.sna.2025.117066
Publisher
Elsevier
Show Full Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Related Researcher

장진호
Chang, Jin Ho장진호

Department of Electrical Engineering and Computer Science

read more

Total Views & Downloads

???jsp.display-item.statistics.view???: , ???jsp.display-item.statistics.download???: