An explicit model to extract viscoelastic properties of cells from AFM force-indentation curves.

Biomechanics Biophysics Materials science

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
15 Apr 2022
Historique:
received: 24 10 2021
revised: 12 11 2021
accepted: 28 02 2022
entrez: 21 3 2022
pubmed: 22 3 2022
medline: 22 3 2022
Statut: epublish

Résumé

Atomic force microscopy (AFM) is widely used for quantifying the mechanical properties of soft materials such as cells. AFM force-indentation curves are conventionally fitted with a Hertzian model to extract elastic properties. These properties solely are, however, insufficient to describe the mechanical properties of cells. Here, we expand the analysis capabilities to describe the viscoelastic behavior while using the same force-indentation curves. Our model gives an explicit relation of force and indentation and extracts physically meaningful mechanical parameters. We first validated the model on simulated force-indentation curves. Then, we applied the fitting model to the force-indentation curves of two hydrogels with different crosslinking mechanisms. Finally, we characterized HeLa cells in two cell cycle phases, interphase and mitosis, and showed that mitotic cells have a higher apparent elasticity and a lower apparent viscosity. Our study provides a simple method, which can be directly integrated into the standard AFM framework for extracting the viscoelastic properties of materials.

Identifiants

pubmed: 35310950
doi: 10.1016/j.isci.2022.104016
pii: S2589-0042(22)00286-3
pmc: PMC8931349
doi:

Types de publication

Journal Article

Langues

eng

Pagination

104016

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Shada Abuhattum (S)

Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Technische Universität Dresden, Biotechnology Center, Center for Molecular and Cellular Bioengineering, Tatzberg 47-51, 01307 Dresden, Germany.

Dominic Mokbel (D)

Fakultät Mathematik und Informatik, Technische Universität Freiberg, 09599 Freiberg, Germany.

Paul Müller (P)

Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Technische Universität Dresden, Biotechnology Center, Center for Molecular and Cellular Bioengineering, Tatzberg 47-51, 01307 Dresden, Germany.

Despina Soteriou (D)

Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.

Jochen Guck (J)

Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Technische Universität Dresden, Biotechnology Center, Center for Molecular and Cellular Bioengineering, Tatzberg 47-51, 01307 Dresden, Germany.

Sebastian Aland (S)

Fakultät Mathematik und Informatik, Technische Universität Freiberg, 09599 Freiberg, Germany.
Fakultät Informatik/Mathematik, Hochschule für Technik und Wirtschaft Dresden, 01069 Dresden, Germany.

Classifications MeSH