Data · dataset · 2016
A novel approach for extracting viscoelastic parameters of living cells through combination of inverse finite element simulation and Atomic Force Microscopy
Listed in DataCite
Dynamic mechanical behaviour of living cells has been described by viscoelasticity.
Description
However, quantitation of the viscoelastic parameters for living cells is far from sophisticated. In this paper, combining inverse finite element (FE) simulation with Atomic Force Microscope characterization, we attempt to develop a new method to evaluate and acquire trustworthy viscoelastic index of living cells.
First, influence of the experiment parameters on stress relaxation process is assessed using FE simulation. As suggested by the simulations, cell height has negligible impact on shape of the force–time curve, i.e. the characteristic relaxation time; and the effect originates from substrate can be totally eliminated when stiff substrate (Young’s modulus larger than 3 GPa) is used. Then, so as to develop an effective optimization strategy for the inverse FE simulation, the parameters sensitivity evaluation is performed for Young’s modulus, Poisson’s ratio, and characteristic relaxation time.
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With the experiment data obtained through typical stress relaxation measurement, viscoelastic parameters are extracted through the inverse FE simulation by comparing the simulation results and experimental measurements. Finally, reliability of the acquired mechanical parameters is verified with different load experiments performed on the same cell.
Links
Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/A_novel_approach_for_extracting_viscoelastic_… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.3829899 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/10255842.2016.1233403 doi.org/10.1080/10255842.2016.1233403 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.3829899 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.3829899 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Chemical sciences · Mathematics · Physical sciences
- From keywords
- Medicine & Health
- Inferred from text
- Biochemistry and cell biology 74% · Microscopy 75% · Simulation 75%
Related
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.3829899 | 14 d ago | JSON v1 |
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| concepts[modality].local:modality:microscopy | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
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