Department of Electrical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region of China.
Department of Electrical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region of China.
Comput Biol Med. 2024 May;173:108350. doi: 10.1016/j.compbiomed.2024.108350. Epub 2024 Mar 26.
Cell protrusions play an important role in a variety of cell physiological processes. In this paper, we propose a convex-hull based method, combined with manifold projections, to detect cell protrusions. A convex hull is generated based on the cell surface. We consider the cell surface and the boundary of its convex hull as two manifolds, which are diffeomorphic, and define a depth function based on the distance between the cell surface and its convex hull boundary. The extreme points of the depth function represent the positions of cell protrusions. To find the extreme points easily, we project the points on the cell surface onto the boundary of the convex hull and expand them in spherical polar coordinates. We conducted experiments on three types of cell protrusions. The proposed method achieved the average precision of 98.9%, 95.6%, and 94.7% on blebs, filopodia, and lamellipodia, respectively. Experiments on three datasets show that the proposed method has a robust performance.
细胞突起在多种细胞生理过程中发挥着重要作用。在本文中,我们提出了一种基于凸壳的方法,结合流形投影,来检测细胞突起。基于细胞表面生成一个凸壳。我们将细胞表面及其凸壳边界视为两个流形,它们是同胚的,并基于细胞表面和其凸壳边界之间的距离定义一个深度函数。深度函数的极值点代表细胞突起的位置。为了方便找到极值点,我们将细胞表面上的点投影到凸壳的边界上,并在球极坐标中扩展它们。我们在三种类型的细胞突起上进行了实验。所提出的方法在微泡、丝状伪足和片状伪足上的平均精度分别达到了 98.9%、95.6%和 94.7%。在三个数据集上的实验表明,所提出的方法具有稳健的性能。