Abstract
Single-cell phenotyping based on biophysical properties is a promising tool to distinguish cell types and their response to a given condition, and charting such properties also enables optimization of cell separations. Isoacoustic focusing, where cells migrate to their points of zero acoustic contrast in an acoustic impedance gradient, added the effective acoustic impedance of cells to the directory of biophysical properties that can be utilized to categorize or separate cells. This study investigates isoacoustic focusing in a stop-flow regime and shows how cells migrate towards their isoacoustic point. We introduce a numerical model that we use to estimate the acoustic energy density in acoustic impedance gradient media by tracking particles of known properties, and we investigate the effect of acoustic streaming. From the measured trajectories of cells combined with fluorescence intensity images of the slowly diffusing gradient, we read out the effective acoustic impedance of neutrophils and K562 cancer cells. Finally, we propose suitable acoustic impedance gradients that lead to a high degree separation of neutrophils and K562 cells in a continuous-flow configuration.
| Original language | English |
|---|---|
| Article number | 024066 |
| Number of pages | 16 |
| Journal | Physical Review Applied |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2023 Aug 25 |
Bibliographical note
Funding Information:We are grateful to Dr. Rune Barnkob (Technical University of Munich, Germany) and Dr. Massimiliano Rossi (University of Bologna, Italy) for providing the software for particle tracking. The project was funded by the Swedish Foundation for Strategic Research (Grants No. ICA16-0002 and No. FFL18-0122) and European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 852590).
Publisher Copyright:
© 2023 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/"Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by "https://www.kb.se/samverkan-och-utveckling/oppen-tillgang-och-bibsamkonsortiet/bibsamkonsortiet.html"Bibsam.
Subject classification (UKÄ)
- Biomedical Laboratory Science/Technology
