Comparison of ciliary wave disorders measured by image analysis and electron microscopy

Lee, Seung Sin; Mo, Ji‐Hun; Kim, In Sang; Quan, Song Hwa; Wang, Sun Young; Yi, Won-Jin; Rhee, Chae Seo; Min, Yang Gi

doi:10.1080/00016480510026278

Cited by 10 publications

(2 citation statements)

References 15 publications

(9 reference statements)

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“…Experiments aiming at the characterization of spatiotemporal features of mucociliary phenomena on the tracheal ciliary epithelium are based on the approach of excising a rectangular piece of the cylindric trachea (e.g. [7,[23][24][25]), which changes the boundary conditions from cylindrical to open. The excision might influence the collective dynamical behavior of the system.…”

Section: Boundary Conditionsmentioning

confidence: 99%

Self-organization of self-clearing beating patterns in an array of locally interacting ciliated cells formulated as an adaptive Boolean network

2019

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We present a two-dimensional array of locally interacting virtual actuators, which exhibits selforganization towards self-cleaning spatio-temporal structures. Some of the elaborated results might be more general for dynamical systems based on local interactions. However, here, we would like to present our model under the aspect of mucociliary clearance. The observed spatio-temporal ciliary beat patterns leading to proper mucociliary transport on multiciliated epithelia are suspected to be the result of self-organizing processes on various levels. Our two-dimensional array of locally interacting system elements can be seen as an oversimplified pluricellular epithelium model, which intends to make the self-organization of ciliary beating patterns as well as of the associated fluid transport across the airway epithelium plausible. Ciliated cells are modeled in terms of locally interacting oscillating two-state actuators. The local interactions among these boolean actuators are triggered by seeded mucus lumps. In the course of a simulation the actuators' state and the associated mucus velocity field self-organize in tandem. We suggest to consider the dynamics on multiciliated epithelia in the context of adaptive (boolean) networks. Within the framework of adaptive boolean networks ciliated cells represent the nodes and as the mucus establishes the local interactions among nodes, its distribution determines the topology of the network. Furthermore, we present the results and insights from comprehensive parameter studies. The results show evidence that so called deterministic update schemes, which are meant to represent intercellular signaling, lead to more realistic and robust dynamics and may therefore be favored by nature. Finally, we suppose that unciliated cells introduce a modular network topology on ciliated epithelia causing the self-organization taking place simultaneously in each "ciliated module". This reasoning provides the first consistent explanation for the meaning of the observed patchy expression patterns of the mucus modulation wave fields. Modularity may therefore be seen as a modular construction plan of nature for ciliated epithelia whose number of cells range over several order of magnitudes.

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Section: Boundary Conditionsmentioning

confidence: 99%

Self-organization of self-clearing beating patterns in an array of locally interacting ciliated cells formulated as an adaptive Boolean network

2019

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“…This method offers several advantages, including ease of use, relatively low cost of equipment, and highly compatible digital recording media. Many digital video-image methods utilize image processing based on difference image for calculation of CBF [9,10]. However, measurement of difference image with overlapping objects or slow down performance according to shape of object is difficult.…”

Section: Introductionmentioning

confidence: 99%

An Automated Measurement of Ciliary Beating Frequency using a Combined Optical Flow and Peak Detection

et al. 2011

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ObjectivesThe mucociliary transport system is a major defense mechanism of the respiratory tract. The performance of mucous transportation in the nasal cavity can be represented by a ciliary beating frequency (CBF). This study proposes a novel method to measure CBF by using optical flow.MethodsTo obtain objective estimates of CBF from video images, an automated computer-based image processing technique is developed. This study proposes a new method based on optical flow for image processing and peak detection for signal processing. We compare the measuring accuracy of the method in various combinations of image processing (optical flow versus difference image) and signal processing (fast Fourier transform [FFT] vs. peak detection [PD]). The digital high-speed video method with a manual count of CBF in slow motion video play, is the gold-standard in CBF measurement. We obtained a total of fifty recorded ciliated sinonasal epithelium images to measure CBF from the Department of Otolaryngology. The ciliated sinonasal epithelium images were recorded at 50-100 frames per second using a charge coupled device camera with an inverted microscope at a magnification of ×1,000.ResultsThe mean square errors and variance for each method were 1.24, 0.84 Hz; 11.8, 2.63 Hz; 3.22, 1.46 Hz; and 3.82, 1.53 Hz for optical flow (OF) + PD, OF + FFT, difference image [DI] + PD, and DI + FFT, respectively. Of the four methods, PD using optical flow showed the best performance for measuring the CBF of nasal mucosa.ConclusionsThe proposed method was able to measure CBF more objectively and efficiently than what is currently possible.

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Respiratory Cilia: Principles of Mucociliary Clearance

Antunes

Cohen

2009

Rhinology and Facial Plastic Surgery

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Comparison of ciliary wave disorders measured by image analysis and electron microscopy

Cited by 10 publications

References 15 publications

Self-organization of self-clearing beating patterns in an array of locally interacting ciliated cells formulated as an adaptive Boolean network

Self-organization of self-clearing beating patterns in an array of locally interacting ciliated cells formulated as an adaptive Boolean network

An Automated Measurement of Ciliary Beating Frequency using a Combined Optical Flow and Peak Detection

Respiratory Cilia: Principles of Mucociliary Clearance

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