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Verfasst von:Blumberg, Johannes [VerfasserIn]   i
 Schwarz, Ulrich S. [VerfasserIn]   i
Titel:Comparison of direct and inverse methods for 2.5D traction force microscopy
Verf.angabe:Johannes W. Blumberg, Ulrich S. Schwarz
E-Jahr:2022
Jahr:January 20, 2022
Umfang:25 S.
Fussnoten:Gesehen am
Titel Quelle:Enthalten in: PLOS ONE
Ort Quelle:San Francisco, California, US : PLOS, 2006
Jahr Quelle:2022
Band/Heft Quelle:17(2022), 1, Artikel-ID e0262773, Seite 1-25
ISSN Quelle:1932-6203
Abstract:Essential cellular processes such as cell adhesion, migration and division strongly depend on mechanical forces. The standard method to measure cell forces is traction force microscopy (TFM) on soft elastic substrates with embedded marker beads. While in 2D TFM one only reconstructs tangential forces, in 2.5D TFM one also considers normal forces. Here we present a systematic comparison between two fundamentally different approaches to 2.5D TFM, which in particular require different methods to deal with noise in the displacement data. In the direct method, one calculates strain and stress tensors directly from the displacement data, which in principle requires a divergence correction. In the inverse method, one minimizes the difference between estimated and measured displacements, which requires some kind of regularization. By calculating the required Green’s functions in Fourier space from Boussinesq-Cerruti potential functions, we first derive a new variant of 2.5D Fourier Transform Traction Cytometry (FTTC). To simulate realistic traction patterns, we make use of an analytical solution for Hertz-like adhesion patches. We find that FTTC works best if only tangential forces are reconstructed, that 2.5D FTTC is more precise for small noise, but that the performance of the direct method approaches the one of 2.5D FTTC for larger noise, before both fail for very large noise. Moreover we find that a divergence correction is not really needed for the direct method and that it profits more from increased resolution than the inverse method.
DOI:doi:10.1371/journal.pone.0262773
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1371/journal.pone.0262773
 Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0262773
 DOI: https://doi.org/10.1371/journal.pone.0262773
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Convolution
 Deformation
 Elasticity
 Fast Fourier transforms
 Fourier analysis
 Gaussian noise
 Hydrodynamics
 Image processing
K10plus-PPN:1804094862
Verknüpfungen:→ Zeitschrift

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