Paper
25 August 2009 Mechanical behavior study of single cell contraction by digital image correlation technique
Jianyong Huang, Jia Wu, Lei Qin, Tao Zhu, Chunyang Xiong, Youyi Zhang, Jing Fang
Author Affiliations +
Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73754X (2009) https://doi.org/10.1117/12.839324
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China
Abstract
Precise determination of cellular traction forces has important significance in assessing cellular mechanical characteristic on micro/nano scale. Elastic substrate method is a useful way to study cellular traction forces, in which the cells are cultured on elastic gel substrate marked by randomly embedding fluorescent microbeads and they exert mechanical forces on the film to cause deformation of the substrate material. In this paper, we investigate the acquisition of deformation field induced by single cardiac myocyte by using digital image correlation (DIC) technique. In view of the fact that cellular force restoration is essentially an ill-posed inverse problem, which implies that the force reconstruction is susceptible to the input displacement noise, we develop a novel optimal filtering scheme in two-dimensional Fourier space to restrain displacement noise amplification. Experiments of traction force recovery for a real cardiac myocyte indicate the optimal scheme in combination with the DIC method enables us to reconstruct cellular traction fields with high accuracy.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianyong Huang, Jia Wu, Lei Qin, Tao Zhu, Chunyang Xiong, Youyi Zhang, and Jing Fang "Mechanical behavior study of single cell contraction by digital image correlation technique", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73754X (25 August 2009); https://doi.org/10.1117/12.839324
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KEYWORDS
Digital image correlation

Optimal filtering

Inverse problems

Reconstruction algorithms

Fiber to the x

Fourier transforms

Signal to noise ratio

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