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获能人类精子的分形分析。

Fractal analysis of capacitating human spermatozoa.

作者信息

Mortimer S T, Swan M A, Mortimer D

机构信息

Department of Anatomy and Histology and Sydney Institute of Biomedical Research, University of Sydney, Sydney, NSW 2006, Australia.

出版信息

Hum Reprod. 1996 May;11(5):1049-54. doi: 10.1093/oxfordjournals.humrep.a019295.

Abstract

While head centroid-derived kinematic values have been determined for the trajectories of hyperactivated human spermatozoa, the definitions are not robust with respect to image sampling frequency and track analysis methods. The determination of the fractal dimension of a trajectory has been suggested as an alternative descriptive parameter for hyperactivated motility. Here, we have investigated two methods for the determination of the fractal dimension of a trajectory. A simple but useful equation was found to be: D = log(n)/[log (n + log (d/L)], where the n is the number of intervals in the trajectory, d is the planar extent of the curve and L is the length of the trajectory. This equation was not influenced by scaling of the trajectory. A fractal dimension (D) >=1.30 was found to define hyperactivated trajectories, and D <= 1.20 defined non-hyperactivated trajetories, reconstructed at both 30 and 60 Hz. However, when circling tracks were studied, all had D > 1.30, even though they were classified as non-hyperactivated by curvilinear velocity and/or amplitude of lateral head displacement values. An analysis of a series of non-ideal track segments suggested a relationship between a track's linearity and its fractal dimension. It was determined by a linear regression analysis that the fractal dimension of a trajectory was inversely proportional to its linearity (r = -0.77, P < 0.001). Although the fractal dimension of a trajectory is a good indicator of its regularity (describing its space-filling properties), it should not be used as the sole criterion for the classification of a trajectory as hyperactivated.

摘要

虽然已经确定了人类超活化精子轨迹的头部质心运动学值,但这些定义在图像采样频率和轨迹分析方法方面并不稳健。有人建议将轨迹的分形维数作为超活化运动的替代描述参数。在此,我们研究了两种确定轨迹分形维数的方法。发现一个简单但有用的方程为:D = log(n)/[log (n + log (d/L)],其中n是轨迹中的间隔数,d是曲线的平面范围,L是轨迹的长度。该方程不受轨迹缩放的影响。发现分形维数(D)≥1.30可定义超活化轨迹,而D≤1.20可定义非超活化轨迹,这两种轨迹在30Hz和60Hz时均可重建。然而,在研究圆周轨迹时,尽管根据曲线速度和/或头部横向位移值的幅度将它们分类为非超活化轨迹,但所有轨迹的D均>1.30。对一系列非理想轨迹段的分析表明,轨迹的线性与其分形维数之间存在关系。通过线性回归分析确定,轨迹的分形维数与其线性成反比(r = -0.77,P < 0.001)。尽管轨迹的分形维数是其规律性的良好指标(描述其空间填充特性),但它不应作为将轨迹分类为超活化的唯一标准。

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