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Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic
This paper presents a measurement procedure for analyzing the dielectric properties of cells using descriptive statistics. The study focuses on four cancer cell lines (MDA-MB-231 and MCF-7 breast cancer, SaOS-2, and 143B osteosarcoma) and DMEM culture medium, utilizing the Lorentzian fit model of th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452017/ https://www.ncbi.nlm.nih.gov/pubmed/37627792 http://dx.doi.org/10.3390/bioengineering10080907 |
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author | D’Alvia, Livio Peruzzi, Barbara Apa, Ludovica Del Prete, Zaccaria Rizzuto, Emanuele |
author_facet | D’Alvia, Livio Peruzzi, Barbara Apa, Ludovica Del Prete, Zaccaria Rizzuto, Emanuele |
author_sort | D’Alvia, Livio |
collection | PubMed |
description | This paper presents a measurement procedure for analyzing the dielectric properties of cells using descriptive statistics. The study focuses on four cancer cell lines (MDA-MB-231 and MCF-7 breast cancer, SaOS-2, and 143B osteosarcoma) and DMEM culture medium, utilizing the Lorentzian fit model of the return-loss function. The measurements are performed using a circular patch resonator with a 40 mm diameter, powered by a miniVNA operating in the frequency range of 1 MHz to 3 GHz. Eight specimens are prepared for each group to ensure reliability, and the return loss is recorded ten times for each specimen. Various statistical parameters are calculated and evaluated, including the average value, standard deviation, coefficient of variation, and relative error between the average and the first values. The results demonstrate that one single acquisition highly represents the entire set of ten data points, especially for the resonant frequency, with an accuracy error lower than 0.05%. These findings have significant implications for the methodological approach to detecting cells’ dielectric properties, as they substantially reduce time and preserve the specimens without compromising the accuracy of the experimental results. |
format | Online Article Text |
id | pubmed-10452017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104520172023-08-26 Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic D’Alvia, Livio Peruzzi, Barbara Apa, Ludovica Del Prete, Zaccaria Rizzuto, Emanuele Bioengineering (Basel) Article This paper presents a measurement procedure for analyzing the dielectric properties of cells using descriptive statistics. The study focuses on four cancer cell lines (MDA-MB-231 and MCF-7 breast cancer, SaOS-2, and 143B osteosarcoma) and DMEM culture medium, utilizing the Lorentzian fit model of the return-loss function. The measurements are performed using a circular patch resonator with a 40 mm diameter, powered by a miniVNA operating in the frequency range of 1 MHz to 3 GHz. Eight specimens are prepared for each group to ensure reliability, and the return loss is recorded ten times for each specimen. Various statistical parameters are calculated and evaluated, including the average value, standard deviation, coefficient of variation, and relative error between the average and the first values. The results demonstrate that one single acquisition highly represents the entire set of ten data points, especially for the resonant frequency, with an accuracy error lower than 0.05%. These findings have significant implications for the methodological approach to detecting cells’ dielectric properties, as they substantially reduce time and preserve the specimens without compromising the accuracy of the experimental results. MDPI 2023-07-31 /pmc/articles/PMC10452017/ /pubmed/37627792 http://dx.doi.org/10.3390/bioengineering10080907 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article D’Alvia, Livio Peruzzi, Barbara Apa, Ludovica Del Prete, Zaccaria Rizzuto, Emanuele Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic |
title | Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic |
title_full | Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic |
title_fullStr | Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic |
title_full_unstemmed | Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic |
title_short | Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic |
title_sort | determination of a measurement procedure for the study of cells’ dielectric properties through descriptive statistic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452017/ https://www.ncbi.nlm.nih.gov/pubmed/37627792 http://dx.doi.org/10.3390/bioengineering10080907 |
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