Comparing region of interest selection and whole-field analysis for measurement of ciliary beat frequency in high-speed video analysis

IF 2.4 Q2 RESPIRATORY SYSTEM
Miki Abo , Kousuke Imamura , Shigekuni Hosogi , Takafumi Kobayashi , Yoshihiro Takeda , Kazumasa Kase , Hayato Koba , Satoshi Watanabe , Noriyuki Ohkura , Johsuke Hara , Seiji Yano
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引用次数: 0

Abstract

Background

Ciliary beat frequency (CBF) is crucial in mucociliary clearance. High-speed video analysis (HSVA) is commonly used to measure CBF but lacks standardization. We compared visual observation and computer-assisted calculation using fast Fourier transformation (FFT) in freshly collected bronchial ciliary epithelial cells and cultured cells.

Methods

Bronchial epithelial cells were obtained from 12 patients who required bronchoscopic examination. Eighty-five videos of ciliary movement of freshly collected and cultured cells were recorded and used to calculate CBF using manual observation, region of interest (ROI) selection, and whole-field analysis.

Results

CBF measured by the ROI selection method strongly correlated with that measured using manual observation, especially in freshly collected cells. However, 27.8% of the manual observation method values were doubled in the ROI selection method, probably because a round trip of cilia was calculated as two cycles and needed to be corrected to 1/2 value. Upon increasing the number of ROIs, the results of the ROI selection method came closer to that of WFA.

Conclusions

Computer-assisted calculation using FFT can aid in measuring CBF; however, current methods require visual confirmation. Further automated evaluation techniques are needed to establish more standardized and generalized CBF measurement methods using HSVA.

在高速视频分析中比较感兴趣区选择和全场分析以测量纤毛跳动频率
背景纤毛搏动频率(CBF)对粘液纤毛清除至关重要。高速视频分析(HSVA)通常用于测量 CBF,但缺乏标准化。我们比较了肉眼观察和计算机辅助快速傅立叶变换(FFT)计算新鲜采集的支气管纤毛上皮细胞和培养细胞的CBF。结果ROI选择法测得的CBF与人工观察法测得的CBF密切相关,尤其是在刚采集的细胞中。然而,在 ROI 选择法中,27.8% 的人工观察法数值增加了一倍,这可能是因为纤毛往返一次被计算为两个周期,需要校正为 1/2。结论使用 FFT 进行计算机辅助计算有助于测量 CBF,但目前的方法需要肉眼确认。结论使用 FFT 进行计算机辅助计算可以帮助测量 CBF,但目前的方法需要肉眼确认,因此需要进一步的自动评估技术,以便使用 HSVA 建立更加标准化和通用化的 CBF 测量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Respiratory investigation
Respiratory investigation RESPIRATORY SYSTEM-
CiteScore
4.90
自引率
6.50%
发文量
114
审稿时长
64 days
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