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Sizing biological cells using a microfluidic acoustic flow cytometer

We describe a new technique that combines ultrasound and microfluidics to rapidly size and count cells in a high-throughput and label-free fashion. Using 3D hydrodynamic flow focusing, cells are streamed single file through an ultrasound beam where ultrasound scattering events from each individual c...

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Autores principales: Strohm, Eric M., Gnyawali, Vaskar, Sebastian, Joseph A., Ngunjiri, Robert, Moore, Michael J., Tsai, Scott S. H., Kolios, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423196/
https://www.ncbi.nlm.nih.gov/pubmed/30886171
http://dx.doi.org/10.1038/s41598-019-40895-x
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author Strohm, Eric M.
Gnyawali, Vaskar
Sebastian, Joseph A.
Ngunjiri, Robert
Moore, Michael J.
Tsai, Scott S. H.
Kolios, Michael C.
author_facet Strohm, Eric M.
Gnyawali, Vaskar
Sebastian, Joseph A.
Ngunjiri, Robert
Moore, Michael J.
Tsai, Scott S. H.
Kolios, Michael C.
author_sort Strohm, Eric M.
collection PubMed
description We describe a new technique that combines ultrasound and microfluidics to rapidly size and count cells in a high-throughput and label-free fashion. Using 3D hydrodynamic flow focusing, cells are streamed single file through an ultrasound beam where ultrasound scattering events from each individual cell are acquired. The ultrasound operates at a center frequency of 375 MHz with a wavelength of 4 μm; when the ultrasound wavelength is similar to the size of a scatterer, the power spectra of the backscattered ultrasound waves have distinct features at specific frequencies that are directly related to the cell size. Our approach determines cell sizes through a comparison of these distinct spectral features with established theoretical models. We perform an analysis of two types of cells: acute myeloid leukemia cells, where 2,390 measurements resulted in a mean size of 10.0 ± 1.7 μm, and HT29 colorectal cancer cells, where 1,955 measurements resulted in a mean size of 15.0 ± 2.3 μm. These results and histogram distributions agree very well with those measured from a Coulter Counter Multisizer 4. Our technique is the first to combine ultrasound and microfluidics to determine the cell size with the potential for multi-parameter cellular characterization using fluorescence, light scattering and quantitative photoacoustic techniques.
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spelling pubmed-64231962019-03-26 Sizing biological cells using a microfluidic acoustic flow cytometer Strohm, Eric M. Gnyawali, Vaskar Sebastian, Joseph A. Ngunjiri, Robert Moore, Michael J. Tsai, Scott S. H. Kolios, Michael C. Sci Rep Article We describe a new technique that combines ultrasound and microfluidics to rapidly size and count cells in a high-throughput and label-free fashion. Using 3D hydrodynamic flow focusing, cells are streamed single file through an ultrasound beam where ultrasound scattering events from each individual cell are acquired. The ultrasound operates at a center frequency of 375 MHz with a wavelength of 4 μm; when the ultrasound wavelength is similar to the size of a scatterer, the power spectra of the backscattered ultrasound waves have distinct features at specific frequencies that are directly related to the cell size. Our approach determines cell sizes through a comparison of these distinct spectral features with established theoretical models. We perform an analysis of two types of cells: acute myeloid leukemia cells, where 2,390 measurements resulted in a mean size of 10.0 ± 1.7 μm, and HT29 colorectal cancer cells, where 1,955 measurements resulted in a mean size of 15.0 ± 2.3 μm. These results and histogram distributions agree very well with those measured from a Coulter Counter Multisizer 4. Our technique is the first to combine ultrasound and microfluidics to determine the cell size with the potential for multi-parameter cellular characterization using fluorescence, light scattering and quantitative photoacoustic techniques. Nature Publishing Group UK 2019-03-18 /pmc/articles/PMC6423196/ /pubmed/30886171 http://dx.doi.org/10.1038/s41598-019-40895-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Strohm, Eric M.
Gnyawali, Vaskar
Sebastian, Joseph A.
Ngunjiri, Robert
Moore, Michael J.
Tsai, Scott S. H.
Kolios, Michael C.
Sizing biological cells using a microfluidic acoustic flow cytometer
title Sizing biological cells using a microfluidic acoustic flow cytometer
title_full Sizing biological cells using a microfluidic acoustic flow cytometer
title_fullStr Sizing biological cells using a microfluidic acoustic flow cytometer
title_full_unstemmed Sizing biological cells using a microfluidic acoustic flow cytometer
title_short Sizing biological cells using a microfluidic acoustic flow cytometer
title_sort sizing biological cells using a microfluidic acoustic flow cytometer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423196/
https://www.ncbi.nlm.nih.gov/pubmed/30886171
http://dx.doi.org/10.1038/s41598-019-40895-x
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