High‐Resolution, Highly‐Integrated Traction Force Microscopy Software

2021 ◽  
Vol 1 (9) ◽  
Author(s):  
Nikhil Mittal ◽  
Sangyoon J. Han
Author(s):  
Sergey V. Plotnikov ◽  
Benedikt Sabass ◽  
Ulrich S. Schwarz ◽  
Clare M. Waterman

2008 ◽  
Vol 94 (1) ◽  
pp. 207-220 ◽  
Author(s):  
Benedikt Sabass ◽  
Margaret L. Gardel ◽  
Clare M. Waterman ◽  
Ulrich S. Schwarz

2015 ◽  
Vol 108 (2) ◽  
pp. 493a ◽  
Author(s):  
Jennet Toyjanova ◽  
Eyal Bar-Kochba ◽  
Cristina Lopez-Fagundo ◽  
Jonathan Reichner ◽  
Diane Hoffman-Kim ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e90976 ◽  
Author(s):  
Jennet Toyjanova ◽  
Eyal Bar-Kochba ◽  
Cristina López-Fagundo ◽  
Jonathan Reichner ◽  
Diane Hoffman-Kim ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Liliana Barbieri ◽  
Huw Colin-York ◽  
Kseniya Korobchevskaya ◽  
Di Li ◽  
Deanna L. Wolfson ◽  
...  

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.


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

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lauren Hazlett ◽  
Alexander K. Landauer ◽  
Mohak Patel ◽  
Hadley A. Witt ◽  
Jin Yang ◽  
...  

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.


2014 ◽  
Vol 106 (2) ◽  
pp. 425a
Author(s):  
Jerome Soine ◽  
Christoph Brand ◽  
Jonathan Stricker ◽  
Patrick W. Oakes ◽  
Margaret L. Gardel ◽  
...  

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