Klingner Anke, Kovalenko Alexander, Magdanz Veronika, Khalil Islam S M
Department of Physics, German University in Cairo, New Cairo, 11835, Egypt.
Faculty of Information Technology, Czech Technical University in Prague, Prague, 16000, Czech Republic.
Comput Struct Biotechnol J. 2024 Jun 27;23:2837-2850. doi: 10.1016/j.csbj.2024.06.008. eCollection 2024 Dec.
Accurate analysis of sperm cell flagellar dynamics plays a crucial role in understanding sperm motility as flagella parameters determine cell behavior in the spatiotemporal domain. In this study, we introduce a novel approach by harnessing Genetic Algorithms (GA) to analyze sperm flagellar motion characteristics and compare the results with the traditional decomposition method based on Fourier analysis. Our analysis focuses on extracting key parameters of the equation approximating flagellar shape, including beating period time, bending amplitude, mean curvature, and wavelength. Additionally, we delve into the extraction of phase constants and initial swimming directions, vital for the comprehensive study of sperm cell pairs and bundling phenomena. One significant advantage of GA over Fourier analysis is its ability to integrate sperm cell motion data, enabling a more comprehensive analysis. In contrast, Fourier analysis neglects sperm cell motion by transitioning to a sperm-centered coordinate system (material system). In our comparative study, GA consistently outperform the Fourier analysis-based method, yielding a remarkable reduction in fitting error of up to 70% and on average by 45%. An in-depth exploration of the sperm cell motion becomes indispensable in a wide range of applications from complexities of reproductive biology and medicine, to developing soft flagellated microrobots.
精子细胞鞭毛动力学的准确分析对于理解精子运动起着至关重要的作用，因为鞭毛参数决定了细胞在时空域中的行为。在本研究中，我们引入了一种利用遗传算法（GA）来分析精子鞭毛运动特征的新方法，并将结果与基于傅里叶分析的传统分解方法进行比较。我们的分析重点在于提取近似鞭毛形状方程的关键参数，包括摆动周期时间、弯曲幅度、平均曲率和波长。此外，我们还深入研究了相位常数和初始游动方向的提取，这对于精子细胞对和捆绑现象的全面研究至关重要。GA相对于傅里叶分析的一个显著优势在于其能够整合精子细胞运动数据，从而实现更全面的分析。相比之下，傅里叶分析通过转换到以精子为中心的坐标系（物质系统）而忽略了精子细胞运动。在我们的比较研究中，GA始终优于基于傅里叶分析的方法，拟合误差显著降低，最多可达70%，平均降低45%。从生殖生物学和医学的复杂性到开发软鞭毛微型机器人等广泛应用中，对精子细胞运动进行深入探索变得不可或缺。
