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@inproceedings{1826881,
author = {Vičar, Tomáš and Gumulec, Jaromír and Kolář, Radim and Chmelik, Jiri and Navrátil, Jiří and Chmelikova, Larisa and Cmiel, Vratislav and Provaznik, Ivo and Masařík, Michal},
address = {United States},
booktitle = {2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},
doi = {http://dx.doi.org/10.1109/EMBC46164.2021.9630524},
keywords = {Cancer Cells Viscoelasticity Measurements; Parametric Deconvolution; Quantitative Phase Images},
howpublished = {tištěná verze "print"},
language = {eng},
location = {United States},
isbn = {978-1-7281-1179-7},
pages = {439-442},
publisher = {IEEE},
title = {Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images},
url = {https://pubmed.ncbi.nlm.nih.gov/34891327/},
year = {2021}
}
TY - JOUR
ID - 1826881
AU - Vičar, Tomáš - Gumulec, Jaromír - Kolář, Radim - Chmelik, Jiri - Navrátil, Jiří - Chmelikova, Larisa - Cmiel, Vratislav - Provaznik, Ivo - Masařík, Michal
PY - 2021
TI - Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images
PB - IEEE
CY - United States
SN - 9781728111797
KW - Cancer Cells Viscoelasticity Measurements
KW - Parametric Deconvolution
KW - Quantitative Phase Images
UR - https://pubmed.ncbi.nlm.nih.gov/34891327/
N2 - 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.
ER -
VIČAR, Tomáš, Jaromír GUMULEC, Radim KOLÁŘ, Jiri CHMELIK, Jiří NAVRÁTIL, Larisa CHMELIKOVA, Vratislav CMIEL, Ivo PROVAZNIK and Michal MASAŘÍK. Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. In \textit{2021 43rd Annual International Conference of the IEEE Engineering in Medicine \&{} Biology Society (EMBC)}. United States: IEEE, 2021, p.~439-442. ISBN~978-1-7281-1179-7. Available from: https://dx.doi.org/10.1109/EMBC46164.2021.9630524.
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