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Related Concept Videos

Mechanism of Ciliary Motion01:05

Mechanism of Ciliary Motion

The ciliary structures were first seen in 1647 by Antonie Leeuwenhoek while observing the protozoans. In lower organisms, these appendages are responsible for cell movement, while in higher organisms, these appendages help in the movement of the extracellular fluids within the body cavities.
The cilia are made up of microtubules in a 9+2 arrangement, with nine microtubule doublet ring bundles, surrounding a pair of central singlet microtubule bundles. The doublet microtubule bundles are...
Mechanism of Ciliary Motion01:05

Mechanism of Ciliary Motion

The ciliary structures were first seen in 1647 by Antonie Leeuwenhoek while observing the protozoans. In lower organisms, these appendages are responsible for cell movement, while in higher organisms, these appendages help in the movement of the extracellular fluids within the body cavities.
The cilia are made up of microtubules in a 9+2 arrangement, with nine microtubule doublet ring bundles, surrounding a pair of central singlet microtubule bundles. The doublet microtubule bundles are...
Factors Affecting Pulmonary Ventilation01:19

Factors Affecting Pulmonary Ventilation

Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
Alveolar Surface Tension
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Anatomy of Respiratory System II: Lower Respiratory Tract01:31

Anatomy of Respiratory System II: Lower Respiratory Tract

The lower respiratory tract is anatomically composed of several vital structures, including the larynx, trachea, bronchial tree, alveoli, lungs, and pleurae. Each component has a specific function, and all are intricately connected to ensure efficient respiration.
The Larynx
It is located between the pharynx and the trachea, acts as a passageway for air, and hosts several critical structures, such as the epiglottis, vocal cords, and glottis. The epiglottis acts as a gateway, guiding food to the...
Application of Integration: Problem Solving01:30

Application of Integration: Problem Solving

The process of breathing involves the periodic intake and expulsion of air, known as the respiratory cycle, which typically lasts about five seconds. Modeling the volume of air inhaled into the lungs as a function of time provides insight into both the dynamics and efficiency of pulmonary ventilation. This volume is determined by integrating the airflow rate over time, which captures the cumulative effect of air entering the lungs.Sinusoidal Model of AirflowAirflow during respiration is not...
Chronic Obstructive Pulmonary Disease-II: Pathophysiology01:20

Chronic Obstructive Pulmonary Disease-II: Pathophysiology

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Related Experiment Video

Updated: May 17, 2026

In vivo Evaluation of Mucociliary Clearance in Mice
06:35

In vivo Evaluation of Mucociliary Clearance in Mice

Published on: December 18, 2020

Human airway ciliary dynamics.

Patrick R Sears1, Kristin Thompson, Michael R Knowles

  • 1Cystic Fibrosis Center, University of North Carolina, 6026 Thurston-Bowles Bldg., CB7248, Chapel Hill, NC 27599, USA. searspr@med.unc.edu

American Journal of Physiology. Lung Cellular and Molecular Physiology
|November 13, 2012
PubMed
Summary
This summary is machine-generated.

We developed a new system to analyze airway cilia motion from video microscopy, creating quantitative models for studying ciliary function and primary ciliary dyskinesia (PCD). This tool aids in validating mathematical models of ciliary beating patterns.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Medical Imaging

Background:

  • Airway cilia are crucial for mucociliary clearance, requiring precise shape changes for effective mucus transport.
  • Current methods for analyzing ciliary motion are limited, lacking automated systems for quantitative modeling.
  • Understanding ciliary function is vital for diagnosing and treating conditions like primary ciliary dyskinesia (PCD).

Purpose of the Study:

  • To develop an automated system for converting video microscopy recordings of ciliary motion into quantitative models.
  • To create a user-friendly tool for validating theoretical models of ciliary function.
  • To facilitate the examination of ciliary function in diseases such as primary ciliary dyskinesia (PCD).

Main Methods:

  • Developed a system to superimpose and manipulate a model cilium over video recordings of beating cilia.
  • Analyzed ciliary motion data to determine shear angles and velocity vectors.
  • Extracted ciliary waveforms to construct a composite standard waveform and measured waveform variability.

Main Results:

  • The system successfully generated quantitative models of ciliary shape changes from video microscopy.
  • Measured waveform variability in healthy cilia, providing a quantitative standard.
  • Demonstrated significantly higher variability in primary ciliary dyskinesia (PCD) waveforms compared to healthy cilia.

Conclusions:

  • The developed system provides a novel, quantitative approach to analyzing ciliary motion.
  • This tool is valuable for validating mathematical models of ciliary function.
  • The system effectively distinguishes between healthy and primary ciliary dyskinesia (PCD) ciliary waveforms, aiding in diagnostic research.