Evidence map›Paper›PMID 35390297›Full record

ArticleBiophysical journal2022

Cancer cell viscoelasticity measurement by quantitative phase and flow stress induction.

Tomas Vicar, Jiri Chmelik, Jiri Navratil, Radim Kolar, Larisa Chmelikova, Vratislav Cmiel, Jiri Jagos, Ivo Provaznik, Michal Masarik, Jaromir Gumulec

Abstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. A novel blood volume monitoring approach in a venous reservoir using a laser displacement sensor for blood surface distance measurement.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tomas VicarDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic; Department of Pathological Physiology, Masaryk University, Brno, Czech Republic.
Jiri ChmelikDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Jiri NavratilDepartment of Pathological Physiology, Masaryk University, Brno, Czech Republic.
Radim KolarDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Larisa ChmelikovaDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Vratislav CmielDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Jiri JagosDepartment of Tissue Biomechanics and Numerical Modelling in Medicine, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic.
Ivo ProvaznikDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Michal MasarikDepartment of Pathological Physiology, Masaryk University, Brno, Czech Republic.
Jaromir GumulecDepartment of Pathological Physiology, Masaryk University, Brno, Czech Republic. Electronic address: j.gumulec@med.muni.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell viscoelastic properties are affected by the cell cycle, differentiation, and pathological processes such as malignant transformation. Therefore, evaluation of the mechanical properties of the cells proved to be an approach to obtaining information on the functional state of the cells. Most of the currently used methods for cell mechanophenotyping are limited by low robustness or the need for highly expert operation. In this paper, the system and method for viscoelasticity measurement using shear stress induction by fluid flow is described and tested. Quantitative phase imaging (QPI) is used for image acquisition because this technique enables one to quantify optical path length delays introduced by the sample, thus providing a label-free objective measure of morphology and dynamics. Viscosity and elasticity determination were refined using a new approach based on the linear system model and parametric deconvolution. The proposed method allows high-throughput measurements during live-cell experiments and even through a time lapse, whereby we demonstrated the possibility of simultaneous extraction of shear modulus, viscosity, cell morphology, and QPI-derived cell parameters such as circularity or cell mass. Additionally, the proposed method provides a simple approach to measure cell refractive index with the same setup, which is required for reliable cell height measurement with QPI, an essential parameter for viscoelasticity calculation. Reliability of the proposed viscoelasticity measurement system was tested in several experiments including cell types of different Young/shear modulus and treatment with cytochalasin D or docetaxel, and an agreement with atomic force microscopy was observed. The applicability of the proposed approach was also confirmed by a time-lapse experiment with cytochalasin D washout, whereby an increase of stiffness corresponded to actin repolymerization in time.

Indexed as

NeoplasmsCytochalasin DElasticityElastic ModulusReproducibility of ResultsViscosityCytochalasin D

Identifiers

PMID35390297
PMCPMC9117928

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.