Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem

We report on the use of a lab-on-CMOS biosensor platform for quantitatively tracking the proliferation of RAW 264.7 murine Balb/c macrophages. We show that macrophage proliferation correlates linearly with an average capacitance growth factor resulting from capacitance measurements at a plurality of...

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Autores principales: Smith, Kyle, Lin, Ching-Yi, Gilpin, Yann, Wayne, Elizabeth, Dandin, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213696/
https://www.ncbi.nlm.nih.gov/pubmed/37251577
http://dx.doi.org/10.3389/fbioe.2023.1159004
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author Smith, Kyle
Lin, Ching-Yi
Gilpin, Yann
Wayne, Elizabeth
Dandin, Marc
author_facet Smith, Kyle
Lin, Ching-Yi
Gilpin, Yann
Wayne, Elizabeth
Dandin, Marc
author_sort Smith, Kyle
collection PubMed
description We report on the use of a lab-on-CMOS biosensor platform for quantitatively tracking the proliferation of RAW 264.7 murine Balb/c macrophages. We show that macrophage proliferation correlates linearly with an average capacitance growth factor resulting from capacitance measurements at a plurality of electrodes dispersed in a sensing area of interest. We further show a temporal model that captures the cell number evolution in the area over long periods (e.g., 30 h). The model links the cell numbers and the average capacitance growth factor to describe the observed cell proliferation.
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spelling pubmed-102136962023-05-27 Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem Smith, Kyle Lin, Ching-Yi Gilpin, Yann Wayne, Elizabeth Dandin, Marc Front Bioeng Biotechnol Bioengineering and Biotechnology We report on the use of a lab-on-CMOS biosensor platform for quantitatively tracking the proliferation of RAW 264.7 murine Balb/c macrophages. We show that macrophage proliferation correlates linearly with an average capacitance growth factor resulting from capacitance measurements at a plurality of electrodes dispersed in a sensing area of interest. We further show a temporal model that captures the cell number evolution in the area over long periods (e.g., 30 h). The model links the cell numbers and the average capacitance growth factor to describe the observed cell proliferation. Frontiers Media S.A. 2023-05-12 /pmc/articles/PMC10213696/ /pubmed/37251577 http://dx.doi.org/10.3389/fbioe.2023.1159004 Text en Copyright © 2023 Smith, Lin, Gilpin, Wayne and Dandin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Smith, Kyle
Lin, Ching-Yi
Gilpin, Yann
Wayne, Elizabeth
Dandin, Marc
Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem
title Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem
title_full Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem
title_fullStr Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem
title_full_unstemmed Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem
title_short Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem
title_sort measuring and modeling macrophage proliferation in a lab-on-cmos capacitance sensing microsystem
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213696/
https://www.ncbi.nlm.nih.gov/pubmed/37251577
http://dx.doi.org/10.3389/fbioe.2023.1159004
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