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使用基于 3D 图像和模型的药物诱导细胞变形分析进行无接触核压缩性测定。

Contactless determination of nuclear compressibility using 3D image- and model-based analysis of drug-induced cellular deformation.

机构信息

German Cancer Research Center, Theoretical Bioinformatics, Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.

出版信息

J Microsc. 2010 Dec;240(3):216-26. doi: 10.1111/j.1365-2818.2010.03394.x.

Abstract

Mechanical properties of the chromatin-bearing nucleus in normal and pathological cells are of general interest for epigenetics and medicine. Conventional techniques for quantitative measurements of material properties of cellular matter are based on application of controlled forces onto the cellular or nuclear boundary and do not allow probing intracellular structures that are not directly accessible for physical contact inside the living cell. In this work, we present a novel approach for contactless determination of the nuclear compressibility (i.e. the Poisson's ratio ν) in living cells by means of image- and model-based analysis of drug-induced cell deformation. The Poisson's ratio of the HeLa cell nucleus is determined from time-series of 3D images as a parameter of constitutive model that minimizes the dissimilarity between the numerically predicted and experimentally observed images.

摘要

染色质核的机械性能是表观遗传学和医学的普遍关注点。用于细胞物质材料性能定量测量的常规技术基于对细胞或核边界施加受控力,并且不允许探测在活细胞内部不能直接物理接触的细胞内结构。在这项工作中,我们提出了一种新的方法,通过基于图像和模型的药物诱导的细胞变形分析,来非接触式地确定活细胞中的核可压缩性(即泊松比 ν)。泊松比是通过对 3D 图像的时间序列进行分析来确定的,它是一个本构模型的参数,可以使数值预测图像与实验观察图像之间的差异最小化。

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