Cellular traction force recovery: An optimal filtering approach in   two-dimensional Fourier space

doi:10.1016/j.jtbi.2009.05.005

CORC > 北京大学 > 工学院

	Cellular traction force recovery: An optimal filtering approach in two-dimensional Fourier space
	Huang, Jianyong ; Qin, Lei ; Peng, Xiaoling ; Zhu, Tao ; Xiong, Chunyang ; Zhang, Youyi ; Fang, Jing
刊名	理论生物学杂志
	2009
关键词	Cell-substrate interaction Digital image correlation Signal-noise ratio Traction force microscopy FLEXIBLE SUBSTRATA CELLS LOCOMOTION FIELDS ENERGY
DOI	10.1016/j.jtbi.2009.05.005
英文摘要	Quantitative estimation of cellular traction has significant physiological and clinical implications. As an inverse problem, traction force recovery is essentially susceptible to noise in the measured displacement data. For traditional procedure of Fourier transform traction cytometry (FTTC), noise amplification is accompanied in the force reconstruction and small tractions cannot be recovered from the displacement field with low signal-noise ratio (SNR). To improve the FTTC process, we develop an optimal filtering scheme to suppress the noise in the force reconstruction procedure. In the framework of the Wiener filtering theory, four filtering parameters are introduced in two-dimensional Fourier space and their analytical expressions are derived in terms of the minimum-mean-squared-error (MMSE) optimization criterion. The optimal filtering approach is validated with simulations and experimental data associated with the adhesion of single cardiac myocyte to elastic substrate. The results indicate that the proposed method can highly enhance SNR of the recovered forces to reveal tiny tractions in cell-substrate interaction. (C) 2009 Elsevier Ltd. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000274798100015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Biology; Mathematical & Computational Biology; SCI(E); PubMed; 19; ARTICLE; 4; 811-819; 259
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/164100]
专题	工学院
推荐引用方式 GB/T 7714	Huang, Jianyong,Qin, Lei,Peng, Xiaoling,et al. Cellular traction force recovery: An optimal filtering approach in two-dimensional Fourier space[J]. 理论生物学杂志,2009.
APA	Huang, Jianyong.,Qin, Lei.,Peng, Xiaoling.,Zhu, Tao.,Xiong, Chunyang.,...&Fang, Jing.(2009).Cellular traction force recovery: An optimal filtering approach in two-dimensional Fourier space.理论生物学杂志.
MLA	Huang, Jianyong,et al."Cellular traction force recovery: An optimal filtering approach in two-dimensional Fourier space".理论生物学杂志 (2009).