Inferring cellular forces from image stacks

Inferring cellular forces from image stacks
复制标题

DOI:
10.1098/rstb.2016.0261
复制
发表时间:
2017-05
期刊:
Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子:
--
通讯作者:
J. Veldhuis;A. Ehsandar;J. Maître;T. Hiiragi;S. Cox;G. Brodland
J. Veldhuis;A. Ehsandar;J. Maître;T. Hiiragi;S. Cox;G. Brodland
中科院分区:
其他
文献类型:
--
作者:
J. Veldhuis;A. Ehsandar;J. Maître;T. Hiiragi;S. Cox;G. Brodland

文献摘要

被引文献

相似文献

虽然细胞力对广泛的胚胎发生和疾病过程的重要性被广泛认可,但测量这些力是具有挑战性的,特别是在三维方面。在这里,我们介绍CellFIT-3D,一种力推断技术,允许从图像堆栈中估计三维细胞系统的张力图。像它的前辈,视频力显微镜和CellFIT,这种细胞力学技术假设边界特定的界面张力是主要的驱动程序,它构建力平衡方程的基础上三重结(TJ)二面角。该技术涉及图像处理、细胞分割、细胞轮廓分组、二面角平面计算、沿沿着三维TJ求平均、矩阵方程组装和求解。方程往往是强超定的,允许不明显的TJ被忽略,并确定解决方案的误差估计。应用程序的清洁和嘈杂的合成数据产生的表面进化的张力误差为1.6- 7%,和八细胞小鼠胚胎的分析估计误差小于10%的不确定性的伴侣抽吸实验。其他可能的应用领域包括形态发生、癌症转移和组织工程。这篇文章是“系统形态动力学:了解组织硬件的发展”主题的一部分。
Although the importance of cellular forces to a wide range of embryogenesis and disease processes is widely recognized, measuring these forces is challenging, especially in three dimensions. Here, we introduce CellFIT-3D, a force inference technique that allows tension maps for three-dimensional cellular systems to be estimated from image stacks. Like its predecessors, video force microscopy and CellFIT, this cell mechanics technique assumes boundary-specific interfacial tensions to be the primary drivers, and it constructs force-balance equations based on triple junction (TJ) dihedral angles. The technique involves image processing, segmenting of cells, grouping of cell outlines, calculation of dihedral planes, averaging along three-dimensional TJs, and matrix equation assembly and solution. The equations tend to be strongly overdetermined, allowing indistinct TJs to be ignored and solution error estimates to be determined. Application to clean and noisy synthetic data generated using Surface Evolver gave tension errors of 1.6–7%, and analyses of eight-cell murine embryos gave estimated errors smaller than the 10% uncertainty of companion aspiration experiments. Other possible areas of application include morphogenesis, cancer metastasis and tissue engineering. This article is part of the themed issue ‘Systems morphodynamics: understanding the development of tissue hardware’.