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Article . 2013 . Peer-reviewed
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Article . 2013
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Mathematical framework for traction force microscopy

Authors: R. Michel; PESCHETOLA, VALENTINA; VITALE, GUIDO; J. \'Etienne; A. Duperray; AMBROSI, DAVIDE CARLO; PREZIOSI, LUIGI; +1 Authors

Mathematical framework for traction force microscopy

Abstract

Summary: This paper deals with the \textit{Traction Force Microscopy} (TFM) problem. It consists in obtaining stresses by solving an inverse problem in an elastic medium, from known experimentally measured displacements. In this article, the application is the determination of the stresses exerted by a living cell at the surface of an elastic gel. We propose an abstract framework which formulates this inverse problem as a constrained minimization one. The mathematical constraints express the biomechanical conditions that the stress field must satisfy. From this framework, two methods currently used can be derived, the adjoint method (AM) and the Fourier Transform Traction Cytometry (FTTC) method. An improvement of the FTTC method is also derived using this framework. The numerical results are compared and show the advantage of the AM, in particular its ability to capture details more accurately.

Countries
Italy, France
Keywords

Inverse problems, [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], Numerical solution to inverse problems in abstract spaces, Cell motility, cell motility, 510, Adjoint Method (AM), [MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph], Biomechanics, [PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph], Cell motility; Inverse problems; Tikhonov regularization; Adjoint Method (AM); Fourier Transform Traction Cytometry (FTTC); L–curve, Inverse problems in equilibrium solid mechanics, inverse problems, Tikhonov regularization, [SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph], 620, adjoint method (AM), Cell movement (chemotaxis, etc.), \(L\)-curve, Fourier transform traction cytometry (FTTC), L -curve, Biomechanical solid mechanics, Fourier Transform Traction Cytometry (FTTC)

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    popularity
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    Top 10%
    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
Green
Published in a Diamond OA journal