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Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling

Cells mechanical property assessment has been a promising label-free method for cell differentiation. Several methods have been proposed for single-cell mechanical properties analysis. Dielectrophoresis (DEP) is one method used for single-cell mechanical property assessment, cell separation, and sor...

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Autores principales: Hosseini, Imman I., Moghimi Zand, Mahdi, Ebadi, Amir Ali, Fathipour, Morteza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840762/
https://www.ncbi.nlm.nih.gov/pubmed/33504827
http://dx.doi.org/10.1038/s41598-020-78411-1
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author Hosseini, Imman I.
Moghimi Zand, Mahdi
Ebadi, Amir Ali
Fathipour, Morteza
author_facet Hosseini, Imman I.
Moghimi Zand, Mahdi
Ebadi, Amir Ali
Fathipour, Morteza
author_sort Hosseini, Imman I.
collection PubMed
description Cells mechanical property assessment has been a promising label-free method for cell differentiation. Several methods have been proposed for single-cell mechanical properties analysis. Dielectrophoresis (DEP) is one method used for single-cell mechanical property assessment, cell separation, and sorting. DEP method has overcome weaknesses of other techniques, including compatibility with microfluidics, high throughput assessment, and high accuracy. However, due to the lack of a general and explicit model for this method, it has not been known as an ideal cell mechanical property evaluation method. Here we present an explicit model using the most general electromagnetic equation (Maxwell Stress Tensor) for single-cell mechanical evaluation based on the DEP method. For proof of concept, we used the proposed model for differentiation between three different types of cells, namely erythrocytes, peripheral blood mononuclear cells (PBMC), and an epithelial breast cancer cells line (T-47D). The results show that, by a lumped parameter that depends on cells' mechanical and electrical properties, the proposed model can successfully distinguish between the mentioned cell types that can be in a single blood sample. The proposed model would open up the chance to use a mechanical assessment method for cell searching in parallel with other methods.
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spelling pubmed-78407622021-01-28 Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling Hosseini, Imman I. Moghimi Zand, Mahdi Ebadi, Amir Ali Fathipour, Morteza Sci Rep Article Cells mechanical property assessment has been a promising label-free method for cell differentiation. Several methods have been proposed for single-cell mechanical properties analysis. Dielectrophoresis (DEP) is one method used for single-cell mechanical property assessment, cell separation, and sorting. DEP method has overcome weaknesses of other techniques, including compatibility with microfluidics, high throughput assessment, and high accuracy. However, due to the lack of a general and explicit model for this method, it has not been known as an ideal cell mechanical property evaluation method. Here we present an explicit model using the most general electromagnetic equation (Maxwell Stress Tensor) for single-cell mechanical evaluation based on the DEP method. For proof of concept, we used the proposed model for differentiation between three different types of cells, namely erythrocytes, peripheral blood mononuclear cells (PBMC), and an epithelial breast cancer cells line (T-47D). The results show that, by a lumped parameter that depends on cells' mechanical and electrical properties, the proposed model can successfully distinguish between the mentioned cell types that can be in a single blood sample. The proposed model would open up the chance to use a mechanical assessment method for cell searching in parallel with other methods. Nature Publishing Group UK 2021-01-27 /pmc/articles/PMC7840762/ /pubmed/33504827 http://dx.doi.org/10.1038/s41598-020-78411-1 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hosseini, Imman I.
Moghimi Zand, Mahdi
Ebadi, Amir Ali
Fathipour, Morteza
Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
title Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
title_full Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
title_fullStr Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
title_full_unstemmed Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
title_short Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
title_sort cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840762/
https://www.ncbi.nlm.nih.gov/pubmed/33504827
http://dx.doi.org/10.1038/s41598-020-78411-1
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