Quantification of ciliary beat frequency in sinonasal epithelial cells using differential interference contrast microscopy and high-speed digital video imaging

被引:37
|
作者
Schipor, I
Palmer, JN
Cohen, AS
Cohen, NA
机构
[1] Univ Penn, Med Ctr, Div Rhinol, Dept Otorhinolaryngol Head & Neck Surg, Philadelphia, PA 19104 USA
[2] Vet Adm Med Ctr, Div Otolaryngol Head & Neck Surg, Philadelphia, PA 19104 USA
[3] Univ Penn, Dept Pediat, Philadelphia, PA 19104 USA
[4] Childrens Hosp Philadelphia, Div Neurol, Philadelphia, PA 19104 USA
来源
AMERICAN JOURNAL OF RHINOLOGY | 2006年 / 20卷 / 01期
关键词
D O I
10.1177/194589240602000123
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
Background: Mucociliary clearance is a critical upper airway host defense mechanism. Ciliated epithelium in the mammalian airway continually beat at a baseline frequency. Importantly, during times of stress such as exercise or infection, the cilia beat faster to increase clearance. Nasal epithelial ciliary beat frequency (CBF) has been analyzed previously in ex vivo specimens using a variety of methods including photodiode detectors and conventional video recording. Recent studies performed using lower airway ciliated mucosa have shown poor correlation between CBF quantified by photodiode/conventional video and those using high-speed digital video capture at temperatures close to physiological temperatures. Thus, to more rigorously interrogate sinonasal CBF at physiological conditions, we have incorporated it high-speed digital video camera to our CBF analysis system. This is the first report of sinonasal epithelial CBF analysis performed using high-speed video digital analysis. Methods: Ex vivo samples of sinonasal epithelium were placed in lactated Ringer's in a temperature-controlled microscope stage chamber. An edge of tissue containing beating cilia was observed at a magnification of 630x using differential interference contrast Microscopy. The images were captured using a high-speed digital camera with a sampling rate of 250 frames pet, second. CBF was determined using computerized data analysis. Results: The mean nasal CBF was calculated from a minimum of five regions for each sample. Temperature curves were generated from tissue obtained from chronically infected subjects. Conclusion: Analysis of high-speed digital video capture of sinonasal CBF observed under differential interference contrast microscopy is a powerful method to investigate environmental as well as host influenccs on mucociliary clearance within the upper airways.
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页码:124 / 127
页数:4
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