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. 2014 Apr 16;9(4):e90976.
doi: 10.1371/journal.pone.0090976. eCollection 2014.

High resolution, large deformation 3D traction force microscopy

Affiliations

High resolution, large deformation 3D traction force microscopy

Jennet Toyjanova et al. PLoS One. .

Abstract

Traction Force Microscopy (TFM) is a powerful approach for quantifying cell-material interactions that over the last two decades has contributed significantly to our understanding of cellular mechanosensing and mechanotransduction. In addition, recent advances in three-dimensional (3D) imaging and traction force analysis (3D TFM) have highlighted the significance of the third dimension in influencing various cellular processes. Yet irrespective of dimensionality, almost all TFM approaches have relied on a linear elastic theory framework to calculate cell surface tractions. Here we present a new high resolution 3D TFM algorithm which utilizes a large deformation formulation to quantify cellular displacement fields with unprecedented resolution. The results feature some of the first experimental evidence that cells are indeed capable of exerting large material deformations, which require the formulation of a new theoretical TFM framework to accurately calculate the traction forces. Based on our previous 3D TFM technique, we reformulate our approach to accurately account for large material deformation and quantitatively contrast and compare both linear and large deformation frameworks as a function of the applied cell deformation. Particular attention is paid in estimating the accuracy penalty associated with utilizing a traditional linear elastic approach in the presence of large deformation gradients.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Top-view displacement contours of a migrating Schwann cell measured by DVC and FIDVC.
Side by side comparison of the 3D cell displacements measured with (A) our previous DVC and (B) our new FIDVC algorithm . Cell outlines are shown in white. Scale bars = 40 formula imagem.
Figure 2
Figure 2. Displacement gradient comparison for large deformation.
formula image and formula image cross-sections of the calculated 3D displacement gradient for (A) a Schwann cell (scale bar = 40 formula imagem), (B) a polymorphonuclear leukocyte (scale bar = 20 formula imagem) and (C) a NIH 3T3 fibroblast (scale bar = 20 formula imagem). (D) Total force (formula image), root mean squared tractions (formula image) and maximum traction (formula image) ratios plotted against the displacement gradient, under the application of a 3D Gaussian-shaped displacement field (inset). The numerator in the ratios is calculated using the new large deformation approach, whereas the denominator features the results from the traditional linear elastic, small deformation material approximation.
Figure 3
Figure 3. Undeformed and deformed surfaces due to a large deformation.
(A) Schematic of how a material deforms from a reference configuration, formula image, at time formula image, into a deformed configuration, formula image, at time formula image. (B) Angle change between the undeformed and deformed surface normals in (A) formula image and formula image, under the application of a cell-simulated Gaussian displacement field profile. The x-axis denotes the maximum value of the full-field 3D displacement gradient magnitude. The dot product represents the cosine of the angle between the two surface vectors. LSCM formula image cross-sectional images (C) in the absence of a cell, and (D) directly underneath a locomoting Schwann cell. Scale bars = 5 formula imagem.
Figure 4
Figure 4. Analytical example of prescribed Gaussian displacement dipoles on the surface of a 3D LSCM imaging volume.
The (A) 3D surface displacement magnitude, formula image, and (B) displacement gradient magnitude, formula image. Profiles of calculated maximum 3D principal strains calculated from the (C) infinitesimal (formula image) and (D) Lagrangian (formula image) strains. The corresponding traction magnitudes calculated on the (E) undeformed surface, formula image, using a linear elastic constitutive model, formula image, and on (F) the deformed surface, formula image using a large deformation (LD) constitutive model formula image. Scale bars = 40 formula imagem.
Figure 5
Figure 5. Comparison of commonly reported metrics in TFM for the analytical example.
Side by side comparison of the (A) total force, (B) root mean squared (RMS) tractions and maximum tractions, and (C) strain energy for both the linear elastic, small deformation (SD) and non-linear, large deformation (LD) models. All of the values are normalized by the exact analytical solution.
Figure 6
Figure 6. Experimental example of a migrating Schwann cell on the surface of a 3D LSCM imaging volume.
(A) Magnitude of the 3D Schwann cell surface displacement field, formula image, and its (B) resulting displacement gradient magnitude, (formula image). Calculated maximum principal strains from the (C) infinitesimal (formula image), and (D) Lagrangian (formula image) strains. The corresponding traction magnitudes calculated on the (E) undeformed surface, formula image, using a linear elastic constitutive model, formula image, and on the (F) deformed surface, formula image using a large deformation (LD) constitutive model formula image. Cell outlines are shown in white. Scale bars = 40 formula imagem.
Figure 7
Figure 7. Comparison of commonly reported metrics in TFM for the experimental example.
Side by side comparison of the (A) total force, (B) root mean squared (RMS) and maximum tractions, and (C) strain energy for both the linear elastic, small deformation (SD) and non-linear, large deformation (LD) models.
Figure 8
Figure 8. Flowchart of the large deformation high-resolution 3D TFM technique illustrating how cell surface tractions are being calculated.
Figure 9
Figure 9. Analytical benchmark validation examples of the free surface finder algorithm.
(A) shows the results of the surface finder given a perfectly flat surface, whereas in (B) the surface has regular imposed sinusoidal surface undulations. Scale bars = 20 formula imagem.

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References

    1. Lo CM, Wang HB, Dembo M, Wang Yl (2000) Cell Movement Is Guided by the Rigidity of the Substrate. Biophysical Journal 79: 144–152. - PMC - PubMed
    1. Dembo M, Wang YL (1999) Stresses at the cell-to-substrate interface during locomotion of fibrob lasts. Biophysical Journal 76: 2307–2316. - PMC - PubMed
    1. Paszek MJ, Zahir N, Johnson KR, Lakins JN, Rozenberg GI, et al. (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8: 241–254. - PubMed
    1. Sabass B, Gardel ML, Waterman CM, Schwarz US (2008) High Resolution Traction Force Mi- croscopy Based on Experimental and Computational Advances. Biophysical Journal 94: 207–220. - PMC - PubMed
    1. Butler JP, Tolic-Norrelykke IM, Fabry B, Fredberg JJ (2002) Traction fields, moments, and strain energy that cells exert on their surroundings. American Journal of Physiology-Cell Physiology 282: C595–C605. - PubMed

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