Parametric Deconvolution for Cancer Cells Viscoelasticity
Measurements from Quantitative Phase Images

D 2021

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images

VIČAR, Tomáš, Jaromír GUMULEC, Radim KOLÁŘ, Jiri CHMELIK, Jiří NAVRÁTIL et. al.

Základní údaje

Originální název

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images

Autoři

VIČAR, Tomáš (203 Česká republika, garant, domácí), Jaromír GUMULEC (203 Česká republika, domácí), Radim KOLÁŘ (203 Česká republika), Jiri CHMELIK (203 Česká republika), Jiří NAVRÁTIL (203 Česká republika, domácí), Larisa CHMELIKOVA (203 Česká republika), Vratislav CMIEL (203 Česká republika), Ivo PROVAZNIK (203 Česká republika) a Michal MASAŘÍK (203 Česká republika, domácí)

Vydání

United States, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), od s. 439-442, 4 s. 2021

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Kód RIV

RIV/00216224:14110/21:00119617

Organizační jednotka

Lékařská fakulta

ISBN

978-1-7281-1179-7

ISSN

DOI

http://dx.doi.org/10.1109/EMBC46164.2021.9630524

UT WoS

000760910500102

Klíčová slova anglicky

Cancer Cells Viscoelasticity Measurements; Parametric Deconvolution; Quantitative Phase Images

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 31. 5. 2022 12:41, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

GA18-24089S, projekt VaV

Název: Kvantitativní fázová mikroskopie pro 3D kvalitativní charakterizaci nádorových buněk

Investor: Grantová agentura ČR, Quantitative phase microscopy for 3D qualitative characterization of cancer cells

LM2018140, projekt VaV

Název: e-Infrastruktura CZ (Akronym: e-INFRA CZ)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, e-Infrastruktura CZ

Citovat

VIČAR, Tomáš, Jaromír GUMULEC, Radim KOLÁŘ, Jiri CHMELIK, Jiří NAVRÁTIL, Larisa CHMELIKOVA, Vratislav CMIEL, Ivo PROVAZNIK a Michal MASAŘÍK. Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). United States: IEEE, 2021, s. 439-442. ISBN 978-1-7281-1179-7. Dostupné z: https://dx.doi.org/10.1109/EMBC46164.2021.9630524.

@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 a 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, s.~439-442. ISBN~978-1-7281-1179-7. Dostupné z: https://dx.doi.org/10.1109/EMBC46164.2021.9630524.

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