A detailed protocol for cell force measurement by traction force microscopy

Q1 Engineering
Man Zhang , Yu Zhang , Peng Wang , Qian Sun , Xin Wang , Yi Cao , Qiang Wei
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引用次数: 0

Abstract

Cellular traction forces (CTFs) are generated by adherent cells and involved in regulating migration, morphology, and homeostasis. Accurate measurement of CTFs is crucial for understanding fundamental biological processes such as morphogenesis, angiogenesis, and wound healing. However, directly measuring CTFs, which typically range in the nanonewton scale, is challenging. Cellular traction force microscopy (TFM) has been developed to quantify CTFs, but detailed operational procedures and complex data analysis limit its applicability. In this study, hydrogels embedded with fluo-spheres serve as the substrate for TFM measurement under a detailed TFM protocol. Additionally, we designed a user-friendly program for easy parameter setting. An open-source program called Python Fourier transform traction cytometry (pyFTTC) is introduced for data analysis, utilizing particle image velocimetry (PIV) to calculate the traction force from a batch of images. Cross-correlation based PIV and L2-regularized FTTC are applied to all images for data analysis. This article provides a straightforward protocol for quantifying CTFs in standard laboratories, facilitating both cell biology studies and biomaterials development.

Abstract Image

用牵引力显微镜测量细胞力的详细方案
细胞牵引力(CTFs)由贴壁细胞产生,参与调节迁移、形态和体内平衡。CTFs的精确测量对于理解基本的生物过程,如形态发生、血管生成和伤口愈合至关重要。然而,直接测量CTFs(通常在纳米牛顿尺度范围内)是具有挑战性的。细胞牵引力显微镜(TFM)已被用于量化CTFs,但详细的操作程序和复杂的数据分析限制了其适用性。在这项研究中,在详细的TFM协议下,嵌入了流球的水凝胶作为TFM测量的底物。此外,我们还设计了一个用户友好的程序,方便参数设置。引入开源程序Python傅里叶变换牵引细胞术(pyFTTC)进行数据分析,利用粒子图像测速(PIV)从一批图像中计算牵引力。将基于互相关的PIV和l2正则化的FTTC应用于所有图像进行数据分析。本文提供了一种在标准实验室中定量CTFs的简单方案,促进细胞生物学研究和生物材料的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Materials in Medicine
Smart Materials in Medicine Engineering-Biomedical Engineering
CiteScore
14.00
自引率
0.00%
发文量
41
审稿时长
48 days
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