Acoustofluidic interferometric device for rapid single-cell physical phenotyping

High-throughput single-cell analysis based on physical properties (such as morphology or mechanics) is emerging as a powerful tool to inform clinical research, with a great potential for translation towards diagnosis. Here we present a novel microfluidic approach adopting acoustic waves to manipulat...

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Bibliographic Details
Published in:European biophysics journal 2022-03, Vol.51 (2), p.185-191
Main Authors: Mejía Morales, J., Glynne-Jones, P., Vassalli, M., Lippi, G. L.
Format: Article
Language:English
Subjects:
Acoustic waves
Acoustics
Adherent cells
Algae
Beads
Biochemistry
Biodiversity
Biological and Medical Physics
Biomedical and Life Sciences
Biophysics
Cell Biology
Cytology
Deformability
Formability
Interferometry
Life Sciences
Membrane Biology
Microfluidics
Morphology
Nanotechnology
Neurobiology
Original Article
Phenotyping
Physical properties
Polystyrene
Polystyrene resins
Polystyrenes
Refractivity
Sound
Yeasts
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Summary:High-throughput single-cell analysis based on physical properties (such as morphology or mechanics) is emerging as a powerful tool to inform clinical research, with a great potential for translation towards diagnosis. Here we present a novel microfluidic approach adopting acoustic waves to manipulate and mechanically stimulate single cells, and interferometry to track changes in the morphology and measure size, deformability, and refractive index of non-adherent cells. The method is based on the integration within the acoustofluidic channel of a low-finesse Fabry–Perot resonator, providing very high sensitivity and a speed potentially suitable to obtain the high-throughput necessary to handle the variability stemming from the biological diversity of single cells. The proposed approach is applied to a set of different samples: reference polystyrene beads, algae and yeast. The results demonstrate the capability of the acoustofluidic interferometric device to detect and quantify optomechanical properties of single cells with a throughput suitable to address label-free single-cell clinical analysis.
ISSN:0175-7571
1432-1017
DOI:10.1007/s00249-021-01585-7