Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F21%3A00119617" target="_blank" >RIV/00216224:14110/21:00119617 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/21:PU142179

Výsledek na webu

<a href="https://pubmed.ncbi.nlm.nih.gov/34891327/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/34891327/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EMBC46164.2021.9630524" target="_blank" >10.1109/EMBC46164.2021.9630524</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images

Popis výsledku v původním jazyce

In this contribution, we focused on optimising a dynamic flow-based shear stress system to achieve a reliable platform for cell shear modulus (stiffness) and viscosity assessment using quantitative phase imaging. The estimation of cell viscoelastic properties is influenced by distortion of the shear stress waveform, which is caused by the properties of the flow system components (i.e., syringe, flow chamber and tubing). We observed that these components have a significant influence on the measured cell viscoelastic characteristics. To suppress this effect, we applied a correction method utilizing parametric deconvolution of the flow system's optimized impulse response. Achieved results were compared with the direct fitting of the Kelvin-Voigt viscoelastic model and the basic steady-state model. The results showed that our novel parametric deconvolution approach is more robust and provides a more reliable estimation of viscosity with respect to changes in the syringe's compliance compared to Kelvin-Voigt model.

Název v anglickém jazyce

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images

Popis výsledku anglicky

In this contribution, we focused on optimising a dynamic flow-based shear stress system to achieve a reliable platform for cell shear modulus (stiffness) and viscosity assessment using quantitative phase imaging. The estimation of cell viscoelastic properties is influenced by distortion of the shear stress waveform, which is caused by the properties of the flow system components (i.e., syringe, flow chamber and tubing). We observed that these components have a significant influence on the measured cell viscoelastic characteristics. To suppress this effect, we applied a correction method utilizing parametric deconvolution of the flow system's optimized impulse response. Achieved results were compared with the direct fitting of the Kelvin-Voigt viscoelastic model and the basic steady-state model. The results showed that our novel parametric deconvolution approach is more robust and provides a more reliable estimation of viscosity with respect to changes in the syringe's compliance compared to Kelvin-Voigt model.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

ISBN

9781728111797

ISSN

1557-170X

e-ISSN

—

Počet stran výsledku

4

Strana od-do

439-442

Název nakladatele

IEEE

Místo vydání

United States

Místo konání akce

Virtual

Datum konání akce

31. 10. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000760910500102