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培养细胞形状的几何约束

Geometrical constraints on the shape of cultured cells.

作者信息

Heckman C A

机构信息

Department of Biological Sciences, Bowling Green State University, Ohio 43403-0212.

出版信息

Cytometry. 1990;11(7):771-83. doi: 10.1002/cyto.990110703.

Abstract

Previous studies on cultured cells revealed that the values of certain shape descriptors were highly correlated despite the fact that there was little mathematical interdependence (Heckman, CA: In Advances in Cell Culture, Vol. 4, K. Maramorosch, ed, pp 85-156, 1985). The independence of such descriptors was tested by calculating the values of correlations among descriptors for a data set consisting of macroscopic objects. The descriptors were unlinked for this data set, confirming that high correlations reflected specific characteristics of cultured cells. These characteristics were identified by constructing model figures incorporating the geometrical features postulated to be responsible for each correlation. Because the position of the ellipse of concentration depended upon the form in which mass was displaced in figures, the fraction of the figure falling within the area of the ellipse (FINE) and the ratio of the ellipse area to the figure's area (ARAT) became decorrelated from each other in figures with massive projections. Further, correlations between ARAT or FINE and variables measuring cavities and inflections of the perimeter showed a complex dependence on the size, shape, and number of invaginations. Descriptors could become decorrelated due to features present in only a minority of cells of a population. Finally, cell populations that differed with respect to physiological characteristics showed no differences in the value of ARAT:FINE correlation. However, correlations between ARAT and the coefficient of variation of centroid-to-perimeter distances were altered. This suggested that correlation coefficients may be themselves powerful descriptors of the shape characteristics of cell populations.

摘要

先前对培养细胞的研究表明,尽管某些形状描述符之间几乎没有数学上的相互依存关系,但它们的值却高度相关(赫克曼,加利福尼亚州:《细胞培养进展》,第4卷,K. 马拉莫罗什编,第85 - 156页,1985年)。通过计算由宏观物体组成的数据集的描述符之间的相关值,对这些描述符的独立性进行了测试。对于该数据集,这些描述符是不相关的,这证实了高相关性反映了培养细胞的特定特征。通过构建包含假定导致每种相关性的几何特征的模型图形,确定了这些特征。由于浓度椭圆的位置取决于图形中质量位移的形式,在具有大量凸起的图形中,落在椭圆区域内的图形部分(FINE)和椭圆面积与图形面积的比率(ARAT)彼此不再相关。此外,ARAT或FINE与测量周长的空洞和拐点的变量之间的相关性显示出对凹陷的大小、形状和数量的复杂依赖性。描述符可能由于群体中仅少数细胞中存在的特征而变得不相关。最后,在生理特征方面存在差异的细胞群体在ARAT:FINE相关性的值上没有差异。然而,ARAT与质心到周长距离的变异系数之间的相关性发生了变化。这表明相关系数本身可能是细胞群体形状特征的有力描述符。

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