Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images

Result code in 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>
Alternative codes found
RIV/00216305:26220/21:PU142179
Result on the web
<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>

Result language
angličtina
Original language name
Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images
Original language description
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.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
ISBN
9781728111797
ISSN
1557-170X
e-ISSN
—
Number of pages
4
Pages from-to
439-442
Publisher name
IEEE
Place of publication
United States
Event location
Virtual
Event date
Oct 31, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000760910500102

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