A Bayesian traction force microscopy method with automated denoising in a user-friendly software package

Huang, Yunfei; Gompper, Gerhard; Sabass, Benedikt

doi:10.1016/j.cpc.2020.107313

Cited by 19 publications

(15 citation statements)

References 41 publications

(45 reference statements)

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“…2), and monolayer stresses (Figs. 2, 3) by employing digital image correlation, traction force microscopy, and monolayer stress microscopy 24,[31][32][33][34][35][36] .…”

Section: Background and Summarymentioning

confidence: 99%

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Spatiotemporal force and motion in collective cell migration

2020

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Cells move in collective groups in biological processes such as wound healing, morphogenesis, and cancer metastasis. How active cell forces produce the motion in collective cell migration is still unclear. Many theoretical models have been introduced to elucidate the relationship between the cell's active forces and different observations about the collective motion such as collective swirls, oscillations, and rearrangements. though many models share the common feature of balancing forces in the cell layer, the specific relationships between force and motion vary among the different models, which can lead to different conclusions. Simultaneous experimental measurements of force and motion can aid in testing assumptions and predictions of the theoretical models. Here, we provide time-lapse images of cells in 1 mm circular islands, which are used to compute cell velocities, cell-substrate tractions, and monolayer stresses. Additional data are included from experiments that perturbed cell number density and actomyosin contractility. We expect this data set to be useful to researchers interested in force and motion in collective cell migration.

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“…2), and monolayer stresses (Figs. 2, 3) by employing digital image correlation, traction force microscopy, and monolayer stress microscopy 24,[31][32][33][34][35][36] .…”

Section: Background and Summarymentioning

confidence: 99%

“…The displacements were computed using a 32 × 32 pixel subsets at a spacing of 8 pixels (5.2 µm). Cell-substrate tractions were computed using Fourier transform traction microscopy 31,36 . Figure 2i-l shows representative radial tractions applied by the cells.…”

Section: Micropatterning Cell Islands Polydimethysiloxane (Pdms) (Symentioning

confidence: 99%

Spatiotemporal force and motion in collective cell migration

2020

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“…Another MATLAB tool [38], hosted at https://data.mendeley.com/datasets/229bnpp8rb/1, implements Bayesian FTTC [12], thus providing a method to automatically select the regularization parameter. Additionally, this package can also perform traditional L2-regularized FTTC and enables the user to manually select the regularization parameter using the L-curve method.…”

Section: Availability and Future Directionsmentioning

confidence: 99%

pyTFM: A tool for traction force and monolayer stress microscopy

et al. 2021

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Cellular force generation and force transmission are of fundamental importance for numerous biological processes and can be studied with the methods of Traction Force Microscopy (TFM) and Monolayer Stress Microscopy. Traction Force Microscopy and Monolayer Stress Microscopy solve the inverse problem of reconstructing cell-matrix tractions and inter- and intra-cellular stresses from the measured cell force-induced deformations of an adhesive substrate with known elasticity. Although several laboratories have developed software for Traction Force Microscopy and Monolayer Stress Microscopy computations, there is currently no software package available that allows non-expert users to perform a full evaluation of such experiments. Here we present pyTFM, a tool to perform Traction Force Microscopy and Monolayer Stress Microscopy on cell patches and cell layers grown in a 2-dimensional environment. pyTFM was optimized for ease-of-use; it is open-source and well documented (hosted at https://pytfm.readthedocs.io/) including usage examples and explanations of the theoretical background. pyTFM can be used as a standalone Python package or as an add-on to the image annotation tool ClickPoints. In combination with the ClickPoints environment, pyTFM allows the user to set all necessary analysis parameters, select regions of interest, examine the input data and intermediary results, and calculate a wide range of parameters describing forces, stresses, and their distribution. In this work, we also thoroughly analyze the accuracy and performance of the Traction Force Microscopy and Monolayer Stress Microscopy algorithms of pyTFM using synthetic and experimental data from epithelial cell patches.

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“…Motivated by this observation, we use a method where localized forces are distributed inside the cell contour (Schwarz 2002;Delanoë-Ayari et al 2010;Schoen et al 2013;Aramesh 2020). Rather than using point forces (Schwarz 2002), which also suffer from the divergence problem, we use known contact mechanics solutions for traction forces transmitted on circular areas (Johnson 1985;Huang et al 2020), for which the divergence of the Green's function is removed by integration over the contact region. The adhesion forces are estimated using the known deformation-force relation for a constant traction applied over a circular area.…”

Section: (C) (A) (B)mentioning

confidence: 99%

Quantifying force transmission through fibroblasts: changes of traction forces under external shearing

et al. 2021

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Mammalian cells have evolved complex mechanical connections to their microenvironment, including focal adhesion clusters that physically connect the cytoskeleton and the extracellular matrix. This mechanical link is also part of the cellular machinery to transduce, sense and respond to external forces. Although methods to measure cell attachment and cellular traction forces are well established, these are not capable of quantifying force transmission through the cell body to adhesion sites. We here present a novel approach to quantify intracellular force transmission by combining microneedle shearing at the apical cell surface with traction force microscopy at the basal cell surface. The change of traction forces exerted by fibroblasts to underlying polyacrylamide substrates as a response to a known shear force exerted with a calibrated microneedle reveals that cells redistribute forces dynamically under external shearing and during sequential rupture of their adhesion sites. Our quantitative results demonstrate a transition from dipolar to monopolar traction patterns, an inhomogeneous distribution of the external shear force to the adhesion sites as well as dynamical changes in force loading prior to and after the rupture of single adhesion sites. Our strategy of combining traction force microscopy with external force application opens new perspectives for future studies of force transmission and mechanotransduction in cells.

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A Bayesian traction force microscopy method with automated denoising in a user-friendly software package

Cited by 19 publications

References 41 publications

Spatiotemporal force and motion in collective cell migration

Spatiotemporal force and motion in collective cell migration

pyTFM: A tool for traction force and monolayer stress microscopy

Quantifying force transmission through fibroblasts: changes of traction forces under external shearing

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