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目的探索基于数字视频分析的检测离体贴壁培养心肌细胞收缩特征参数的高效方法。方法针对在二维平面上贴壁生长的心肌细胞自主收缩时每个特征位点实际上是在一维有限的空间上做往复运动的特点,本研究采用一维线性空间上的相关匹配算法替代以往二维块匹配跟踪算法,动态获取心肌细胞表面目标位点的运动位移矢量,以及速度、加速度和频率。结果通过对合成的心肌细胞收缩标准视频测量表明该方法的收缩幅度测量结果与标准值一致,差异无统计学意义,并且能够跟踪实际视频中心肌细胞的收缩运动,动态获取收缩幅度、速度和加速度收缩特征参数。结论该方法能够比较理想地动态检测贴壁生长的离体心肌细胞收缩的生物力学特征参数。
OBJECTIVE: To explore an efficient method for detecting characteristic parameters of cultured myocardial cells in vitro cultured by digital video analysis. Methods Aiming at the characteristic that every characteristic site of cardiomyocytes adherently growing on two-dimensional plane is in a one-dimensional finite space during autonomic contraction, this study uses a one-dimensional linear spatial correlation matching algorithm to replace In the past, two-dimensional block matching tracking algorithm was used to dynamically obtain the motion displacement vectors of the target sites on the surface of cardiomyocytes as well as the velocity, acceleration and frequency. Results The standard video measurement of the contraction of cardiomyocytes shows that the method of contraction amplitude measurement is consistent with the standard value, the difference was not statistically significant, and can track the contraction of the actual video cardiomyocytes, dynamic acquisition of contraction amplitude, velocity and acceleration Shrink characteristic parameters. Conclusion This method can be used to dynamically detect the biomechanical parameters of adherent cardiomyocytes in vitro.