Ciliary motility activity measurement using a dense optical flow algorithm

Parrilla, Eduardo; Armengot, Miguel; Mata, Manuel; Cortijo, Julio; Riera, Jaime; Hueso, José L.; Moratal, David

doi:10.1109/embc.2013.6610533

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Methods using optical coherence tomography to measure cilia activity have been described; this allows for visualization of cilia movement (57). Optical flow analysis has also been used to evaluate cilia motion in cultured human cells (58). …”

Section: Methods Of Evaluating Cilia Structure and Functionmentioning

confidence: 99%

Cilia Dysfunction in Lung Disease

Tilley

Walters²,

Shaykhiev³

et al. 2015

Annu. Rev. Physiol.

345

328

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A characteristic feature of the human airway epithelium is the presence of ciliated cells bearing motile cilia, specialized cell surface projections containing axonemes comprised of microtubules and dynein arms, which provide ATP-driven motility. In the airways, cilia function in concert with airway mucus to mediate the critical function of mucociliary clearance, cleansing the airways of inhaled particles and pathogens. The prototypical disorder of respiratory cilia is primary ciliary dyskinesia, an inherited disorder that leads to impaired mucociliary clearance, repeated chest infections, and progressive destruction of lung architecture. Numerous acquired lung diseases are also marked by abnormalities in both cilia structure and function. In this review we summarize current knowledge regarding airway ciliated cells and cilia, how they function to maintain a healthy epithelium, and how disorders of cilia structure and function contribute to inherited and acquired lung disease.

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Section: Methods Of Evaluating Cilia Structure and Functionmentioning

confidence: 99%

Cilia Dysfunction in Lung Disease

Tilley

Walters²,

Shaykhiev³

et al. 2015

Annu. Rev. Physiol.

345

328

View full text Add to dashboard Cite

show abstract

“…Two criteria have been used to assess the global cell motility of each video sequence. 37 First, we determine the quantity of pixels in each frame which present displacement with respect to the first frame of the sequence, computing the optical flow between the 2 frames. We consider that a pixel has moved if the displacement is larger than a given threshold th f .…”

Section: Methodsmentioning

confidence: 99%

A Ciliary Motility Index for Activity Measurement in Cell Cultures With Respiratory Syncytial Virus

Parrilla

Armengot

Mata

et al. 2018

Am J Rhinol�Allergy

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Background The respiratory epithelium is frequently infected by the respiratory syncytial virus, resulting in inflammation, a reduction in cilia activity and an increase in the production of mucus. Methods In this study, an automatic method has been proposed to characterize the ciliary motility from cell cultures by means of a motility index using a dense optical flow algorithm. This method allows us to determine the ciliary beat frequency (CBF) together with a ciliary motility index of the cells in the cultures. The object of this analysis is to automatically distinguish between normal and infected cells in a culture. Results The method was applied in 2 stages. It was concluded from the first stage that the CBF is not a good enough indicator to discriminate between the control and infected cultures. However, the ciliary motility index does succeed in discriminating between the control and infected cultures using the t test with a value t = 6.46 and P < .001. In the second stage, it has been shown that the ciliary motility index did not differ significantly between patients, and the analysis of variance test gives α = 0.05, F = 1.61, P = .20. A threshold for this index has been determined using a receiver operating characteristics analysis that gives an area under the curve of 0.93. Conclusions We have obtained a ciliary motility index that is able to discriminate between control and infected cultures after the eighth postinfection day. After infection, there is a rapid cilia loss of the cells and the measured CBF corresponds to the remaining noninfected cells. This is why the CBF does not discriminate between the control and the infected cells.

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“…Optical ow (OF) is a popular image-based analysis that demonstrates the distribution of the apparent motion of brightness patterns between two consecutive frames, which is caused by the movement of objects. 20 Since the OF algorithm is associated with the motility of objects, previous studies have been conducted to assess the 'motility' related to speci c cell functions, including research on cellular biology [21][22][23][24] and cardiology. 25,26 Regarding cardiologic regenerative medicine, OF-based analyses have served as a non-invasive evaluation tool for the QC of cardiomyocytes to monitor contractile function without compromising the condition of the cells.…”

Section: Introductionmentioning

confidence: 99%

Cell/Colony Motion of Oral Keratinocytes Determined by Non-Invasive and Quantitative Measurement Using Optical Flow Predicts Epithelial Regenerative Capacity

Hoshikawa

Sato

Haga

et al. 2021

Preprint

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Cell/colony motion determined by non-invasive, quantitative measurements using the optical flow (OF) algorithm can indicate the oral keratinocyte proliferative capacity in early-phase primary cultures. This study aimed to determine a threshold for the cell/colony motion index to detect substandard cell populations in a subsequent subculture before manufacturing a tissue-engineered oral mucosa graft and to investigate the correlation with the epithelial regenerative capacity. The distinctive proliferating pattern of first-passage (passage 1 (p1)) cells reveals the motion of p1 cells/colonies, which can be measured in a non-invasive, quantitative manner using OF with fewer full-screen imaging analyses and cell segmentations. Our results demonstrate that the motion index lower than 40 μm/hour reflects cellular damages by experimental metabolic challenges and can be used as the threshold to determine the quality of cultured cells. Because the p1 cell/colony motion index is correlated with epithelial regenerative capacity, it is a reliable index for quality control of oral keratinocytes.

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Ciliary motility activity measurement using a dense optical flow algorithm

Cited by 3 publications

References 16 publications

Cilia Dysfunction in Lung Disease

Cilia Dysfunction in Lung Disease

A Ciliary Motility Index for Activity Measurement in Cell Cultures With Respiratory Syncytial Virus

Cell/Colony Motion of Oral Keratinocytes Determined by Non-Invasive and Quantitative Measurement Using Optical Flow Predicts Epithelial Regenerative Capacity

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