scholarly journals Quantifying cellular forces: Practical considerations of traction force microscopy for dermal fibroblasts

2020 ◽  
Vol 30 (1) ◽  
pp. 74-83 ◽  
Author(s):  
Abigail De La Pena ◽  
Marah Mukhtar ◽  
Ryosuke Yokosawa ◽  
Santiago Carrasquilla ◽  
Chelsey S. Simmons
Keyword(s):  
Traction Force ◽  
Dermal Fibroblasts ◽  
Traction Force Microscopy ◽  
Force Microscopy ◽  
Cellular Forces

scholarly journals A Novel Method for Quantifying Traction Forces from Hexagonal Micropatterned Features on Deformable Poly-Dimethyl Siloxane Sheets

2018 ◽  
Author(s):  
Brian P. Griffin ◽  
Christopher J. Largaespada ◽  
Nicole A. Rinaldi ◽  
Christopher A. Lemmon
Keyword(s):  
Computational Algorithm ◽  
Traction Force ◽  
Traction Force Microscopy ◽  
Polydimethyl Siloxane ◽  
Traction Forces ◽  
Homogeneous Surface ◽  
Force Microscopy ◽  
Dimethyl Siloxane ◽  
Novel Method ◽  
Cellular Forces

AbstractMany methods exist for quantifying cellular traction forces, including traction force microscopy and microfabricated post arrays. However, these methodologies have limitations, including a requirement to remove cells to determine undeflected particle locations and the inability to quantify forces of cells with low cytoskeletal stiffness, respectively. Here we present a novel method of traction force quantification that eliminates both of these limitations. Through the use of a hexagonal pattern of microcontact-printed protein spots, a novel computational algorithm, and thin surfaces of polydimethyl siloxane (PDMS) blends, we demonstrate a system that quantifies cellular forces on a homogeneous surface that is stable, easily manufactured, and can quantify forces without need for cellular removal.

scholarly journals TFMLAB: a MATLAB toolbox for 4D traction force microscopy

2020 ◽  
Author(s):  
Jorge Barrasa Fano ◽  
Apeksha Shapeti ◽  
Alvaro Jorge-Penas ◽  
Mojtaba Barzegari ◽  
Jose A Sanz Herrera ◽  
...  
Keyword(s):  
User Interfaces ◽  
Traction Force ◽  
Cell Segmentation ◽  
Traction Force Microscopy ◽  
Force Microscopy ◽  
In Vitro Systems ◽  
Force Recovery ◽  
Segmentation Image ◽  
Cellular Forces

We present TFMLAB, a MATLAB software package for 4D (x;y;z;t) Traction Force Microscopy (TFM). While various TFM computational workflows are available in the literature, open-source programs that are easy to use by researchers with limited technical experience and that can analyze 4D in vitro systems do not exist. TFMLAB integrates all the computational steps to compute active cellular forces from confocal microscopy images, including image processing, cell segmentation, image alignment, matrix displacement measurement and force recovery. Moreover, TFMLAB eases usability by means of interactive graphical user interfaces. This work describes the package's functionalities and analyses its performance on a real TFM case.

scholarly journals Two-dimensional TIRF-SIM–traction force microscopy (2D TIRF-SIM-TFM)

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Liliana Barbieri ◽  
Huw Colin-York ◽  
Kseniya Korobchevskaya ◽  
Di Li ◽  
Deanna L. Wolfson ◽  
...  
Keyword(s):  
Resolution Enhancement ◽  
Traction Force ◽  
Super Resolution ◽  
Traction Force Microscopy ◽  
Two Dimensional ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Force Microscopy ◽  
Health And Disease ◽  
Spatio Temporal

AbstractQuantifying small, rapidly evolving forces generated by cells is a major challenge for the understanding of biomechanics and mechanobiology in health and disease. Traction force microscopy remains one of the most broadly applied force probing technologies but typically restricts itself to slow events over seconds and micron-scale displacements. Here, we improve >2-fold spatially and >10-fold temporally the resolution of planar cellular force probing compared to its related conventional modalities by combining fast two-dimensional total internal reflection fluorescence super-resolution structured illumination microscopy and traction force microscopy. This live-cell 2D TIRF-SIM-TFM methodology offers a combination of spatio-temporal resolution enhancement relevant to forces on the nano- and sub-second scales, opening up new aspects of mechanobiology to analysis.

scholarly journals Different Cell Migration Modes: Insights from Traction Force Microscopy and Modeling

2021 ◽  
Vol 120 (3) ◽  
pp. 113a
Author(s):  
Wouter-Jan Rappel ◽  
Elisabeth Ghabache ◽  
Yuansheng Cao ◽  
Yuchuan Miao ◽  
Alexander Groisman ◽  
...  
Keyword(s):  
Cell Migration ◽  
Traction Force ◽  
Traction Force Microscopy ◽  
Force Microscopy

scholarly journals Epifluorescence-based three-dimensional traction force microscopy

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lauren Hazlett ◽  
Alexander K. Landauer ◽  
Mohak Patel ◽  
Hadley A. Witt ◽  
Jin Yang ◽  
...  
Keyword(s):  
Spatial Frequency ◽  
Open Source ◽  
Single Particle ◽  
Three Dimensional ◽  
Traction Force ◽  
High Spatial Frequency ◽  
Epifluorescence Microscopy ◽  
Traction Force Microscopy ◽  
Force Microscopy ◽  
Out Of Plane

Abstract We introduce a novel method to compute three-dimensional (3D) displacements and both in-plane and out-of-plane tractions on nominally planar transparent materials using standard epifluorescence microscopy. Despite the importance of out-of-plane components to fully understanding cell behavior, epifluorescence images are generally not used for 3D traction force microscopy (TFM) experiments due to limitations in spatial resolution and measuring out-of-plane motion. To extend an epifluorescence-based technique to 3D, we employ a topology-based single particle tracking algorithm to reconstruct high spatial-frequency 3D motion fields from densely seeded single-particle layer images. Using an open-source finite element (FE) based solver, we then compute the 3D full-field stress and strain and surface traction fields. We demonstrate this technique by measuring tractions generated by both single human neutrophils and multicellular monolayers of Madin–Darby canine kidney cells, highlighting its acuity in reconstructing both individual and collective cellular tractions. In summary, this represents a new, easily accessible method for calculating fully three-dimensional displacement and 3D surface tractions at high spatial frequency from epifluorescence images. We released and support the complete technique as a free and open-source code package.

scholarly journals Traction Force Microscopy Based on an Active Cable Network Model

2014 ◽  
Vol 106 (2) ◽  
pp. 425a
Author(s):  
Jerome Soine ◽  
Christoph Brand ◽  
Jonathan Stricker ◽  
Patrick W. Oakes ◽  
Margaret L. Gardel ◽  
...  
Keyword(s):  
Network Model ◽  
Traction Force ◽  
Traction Force Microscopy ◽  
Force Microscopy ◽  
Cable Network

scholarly journals pyTFM: A tool for traction force and monolayer stress microscopy

2021 ◽  
Vol 17 (6) ◽  
pp. e1008364
Author(s):  
Andreas Bauer ◽  
Magdalena Prechová ◽  
Lena Fischer ◽  
Ingo Thievessen ◽  
Martin Gregor ◽  
...  
Keyword(s):  
Image Annotation ◽  
Traction Force ◽  
Theoretical Background ◽  
Ease Of Use ◽  
Traction Force Microscopy ◽  
Force Transmission ◽  
Force Microscopy ◽  
Wide Range ◽  
Cell Layers ◽  
Cellular Stresses

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.

scholarly journals Imaging in-plane and normal stresses near an interface crack using traction force microscopy

2010 ◽  
Vol 107 (34) ◽  
pp. 14964-14967 ◽  
Author(s):  
Y. Xu ◽  
W. C. Engl ◽  
E. R. Jerison ◽  
K. J. Wallenstein ◽  
C. Hyland ◽  
...  
Keyword(s):  
Interface Crack ◽  
Traction Force ◽  
Traction Force Microscopy ◽  
Normal Stresses ◽  
Force Microscopy
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