Simulation and evaluation of 3D traction force microscopy. Issue 8 (11th June 2019)

• Record Type: Journal Article
• Authors: Holenstein, C.N.; Lendi, C.R.; Wili, Nino; Snedeker, J.G.
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 22:Issue 8(2019)
• Page Start: 853
• Page End: 860
• Publication Date: 2019-06-11
• Subjects: Traction force microscopy -- simulation -- evaluation -- digital volume correlation; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2019.1599866
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: Measuring cell-generated forces by Traction Force Microscopy (TFM) has become a standard tool in cell mechanobiology. Although widely used in two dimensional (2D) experiments, only a few methods exist to measure traction in three-dimensional (3D) cell culture, since 3D volumetric high-resolution microscopy and more demanding computational approaches are required. Although it is commonly known that the selected experimental and computational setup highly influence the quality and accuracy of the results, no existing methods can adequately assess the errors involved in this process. We present a fully integrated simulation and evaluation platform that allows one to simulate TFM images and quantify errors of an applied approach for traction stress reconstruction, in order to improve experiments that attempt to measure mechanical interaction in cellular systems. In this context, we show that a careful parameter selection can decrease the reconstructed traction error by up to 40%.