Human airway ciliary dynamics.
Human airway ciliary dynamics.
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人体气道纤毛动力学。
DOI：
10.1152/ajplung.00105.2012
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Davis,CWilliam
中科院分区：
文献类型：
--
作者：
Sears,PatrickR;Thompson,Kristin;Knowles,MichaelR;Davis,CWilliam
呼吸道纤毛依赖于形状的精确变化来运输覆盖在粘膜表面的粘液凝胶。利用视频显微镜可以在多个平面上记录纤毛运动。然而，纤毛是密集排列的，自动化的计算机化系统无法将这些纤毛形状的变化转换为对测试睫毛功能理论模型有用的形式。我们开发了一种系统，用于将视频显微镜记录的平面纤毛运动转换为经验定量模型，该模型易于用于验证数学模型或检查睫毛功能，例如在原发性睫状体运动障碍(PCD)中。我们开发的系统允许操作叠加在击打纤毛的视频上的模型纤毛。分析数据以确定沿纤毛的点的剪切角和速度矢量。提取的波形被用来构造可作为标准的复合波形。变异性被测量为各点在单个波形上的位置的平均差值和标准。分析的形状为结束恢复、结束有效、最快移动有效和恢复，平均(±SE)差分别为0.31(0.04)、0.25(0.06)、0.50(0.12)、0.50(0.10)、μm。相比之下，对于三种不同的PCD波形，相同的测量结果的值远远超出了这个范围。
Airway cilia depend on precise changes in shape to transport the mucus gel overlying mucosal surfaces. The ciliary motion can be recorded in several planes using video microscopy. However, cilia are densely packed, and automated computerized systems are not available to convert these ciliary shape changes into forms that are useful for testing theoretical models of ciliary function. We developed a system for converting planar ciliary motions recorded by video microscopy into an empirical quantitative model, which is easy to use in validating mathematical models, or in examining ciliary function, e.g., in primary ciliary dyskinesia (PCD). The system we developed allows the manipulation of a model cilium superimposed over a video of beating cilia. Data were analyzed to determine shear angles and velocity vectors of points along the cilium. Extracted waveforms were used to construct a composite waveform, which could be used as a standard. Variability was measured as the mean difference in position of points on individual waveforms and the standard. The shapes analyzed were the end-recovery, end-effective, and fastest moving effective and recovery with mean (± SE) differences of 0.31(0.04), 0.25(0.06), 0.50(0.12), 0.50(0.10), μm, respectively. In contrast, the same measures for three different PCD waveforms had values far outside this range.
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DOI：
--
发表时间：
1985
期刊：
影响因子：
--
作者：
P. Satir
通讯作者：
P. Satir
气道表面液体示踪剂传输模型
影响因子：
3.5
作者：
David J. Smith;E. Gaffney;John Blake
通讯作者：
John Blake
影响因子：
3.4
作者：
R. Rikmenspoel;C. Isles
通讯作者：
C. Isles
影响因子：
2
作者：
Dillon, RH;Fauci, LJ
通讯作者：
Fauci, LJ
DOI：
10.1164/rccm.200303-365oc
发表时间：
2004-02-15
影响因子：
24.7
作者：
Noone, PG;Leigh, MW;Knowles, MR
通讯作者：
Knowles, MR