巨噬细胞轨迹的进化曲线平滑

G. Lupi, K. Mikula, Seol Ah Park
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引用次数: 1

摘要

在分析细胞轨迹时,由于细胞的随机运动和细胞中心检测可能存在的缺陷,我们经常需要处理有噪声的数据。为了使这些轨迹平滑,我们提出了一种基于拉格朗日公式中不断发展的开平面曲线方法的数学模型和数值方法。该模型包含两项:一项是局部曲率影响下的平滑项,另一项是将曲线吸引到原始轨迹上。采用流动有限体积法对平流扩散偏微分方程进行离散化。PDE包括曲线网格点的渐近均匀切向重分布。我们提出了巨噬细胞轨迹平滑的结果,并定义了一种计算平滑曲线上离散点的细胞速度的方法。
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Macrophages Trajectories Smoothing by Evolving Curves
Abstract When analyzing cell trajectories, we often have to deal with noisy data due to the random motion of the cells and possible imperfections in cell center detection. To smooth these trajectories, we present a mathematical model and numerical method based on evolving open-plane curve approach in the Lagrangian formulation. The model contains two terms: the first is the smoothing term given by the influence of local curvature, while the other attracts the curve to the original trajectory. We use the flowing finite volume method to discretize the advection-diffusion partial differential equation. The PDE includes the asymptotically uniform tangential redistribution of curve grid points. We present results for macrophage trajectory smoothing and define a method to compute the cell velocity for the discrete points on the smoothed curve.
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Tatra Mountains Mathematical Publications
Tatra Mountains Mathematical Publications Mathematics-Mathematics (all)
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