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A quartz crystal resonator for cellular phenotyping
journal contribution
posted on 2020-10-29, 10:04 authored by Carlos Da-Silva-Granja, Katie GlenKatie Glen, Niklas Sandström, Victor P Ostanin, Rob ThomasRob Thomas, Sourav GhoshSourav GhoshCell therapy manufacturing is limited by lack of online tools capable of realtime in-process monitoring, particularly of simultaneous changes in multiple orthogonal (mutually independent) parameters. Here, we studied changes in CD36 expression, number density and size (area) of erythroblasts through different stages of erythropoiesis in vitro using a quartz crystal resonator (QCR), integrated with a microscope, and flow cytometry in parallel. An analytical model was developed extending the Kanazawa-Gordon theory. Based on this model, independent correlations were established between changes in each QCR parameter, dissipation (∆Γ) and resonance frequency (〖-Δf〗_0), and CD36 expression (from flow cytometry) and cell area (from microscope). The correlation functions were used to derive an acoustic signature (-∆Γ/〖Δf〗_0) of the differentiation process that uniquely mapped the relative changes in CD36 expression and late-stage enucleation-related deviations. A method to quantify relative changes in cell area purely from the acoustic parameters was also proposed. This work demonstrated for the first time the potential of an electromechanical tool for online monitoring of concurrently varying orthogonal phenotypic parameters in cell therapy manufacturing.
Funding
Tackling Antimicrobial Resistance: An Interdisciplinary Approach
Engineering and Physical Sciences Research Council
Find out more...Engineering Biological Science - Processes and Systems for Haematopoietic Stem Cell Based Therapy Manufacture
Engineering and Physical Sciences Research Council
Find out more...History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Biosensors and Bioelectronics: XVolume
6Publisher
Elsevier BVVersion
- VoR (Version of Record)
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© The AuthorsPublisher statement
This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Acceptance date
2020-10-12Publication date
2020-10-17Copyright date
2020ISSN
2590-1370Publisher version
Language
- en
Depositor
Carlos Da Silva Granja. Deposit date: 27 October 2020Article number
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