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睫状肌颤动频率的自动测量。

Automated measurement of ciliary beat frequency.

作者信息

Hennessy S J, Wong L B, Yeates D B, Miller I F

出版信息

J Appl Physiol (1985). 1986 Jun;60(6):2109-13. doi: 10.1152/jappl.1986.60.6.2109.

Abstract

Measurements of ciliary beat frequency using video images are dependent on observer interpretation. To obtain objective estimates of ciliary beat frequency from video-image sequences, a computer-based method was developed. Regions of interest of video-image sequences were selected and digitized. Variations in numerical values representing light intensity resulting from cilia beating were extracted and analyzed using autocorrelation techniques. The ciliary beat frequencies obtained for 14 in vitro experiments on ciliated cells or epithelium from the frog palate (Rana catesbeiana) over the range of frequencies 2-25 Hz correlated well with independent observer measurements (r = 0.979). The addition of such computer-based methods to video observer-based systems allows more objective and efficient determinations of ciliary beat frequency.

摘要

使用视频图像测量纤毛摆动频率取决于观察者的解读。为了从视频图像序列中获得纤毛摆动频率的客观估计值,开发了一种基于计算机的方法。选择视频图像序列的感兴趣区域并进行数字化处理。利用自相关技术提取并分析了由纤毛摆动引起的代表光强度的数值变化。在2 - 25 Hz频率范围内,对来自牛蛙腭部的纤毛细胞或上皮组织进行的14次体外实验所获得的纤毛摆动频率,与独立观察者的测量结果具有良好的相关性(r = 0.979)。将这种基于计算机的方法添加到基于视频观察者的系统中,可以更客观、高效地测定纤毛摆动频率。

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