Automatic detection of beating cilia with frequencies estimations

Élodie Puybareau 1 Hugues Talbot 1 Gabriel Pelle 2 Bruno Louis 2 Laurent Najman 1 André Coste 2
2 INSERM U955, équipe 13
Service d'ORL et de Chirurgie Cervico-Faciale, Service d'ORL et de chirurgie cervico-faciale, IMRB - Institut Mondor de Recherche Biomédicale
Abstract : Muco-ciliary clearance is the airway first mechanism of defence against environmental attacks such as microorganisms or pollution. Cilia motility impairment can be either of genetic (primary ciliary dyskinesia) or acquired origin (environmental attacks), entailing chronic diseases. It is of interest for practitioners to evaluate cilia beating frequency easily, robustly and reliably. As yet, no fully automatized method is available. 2 Methods Ciliated cells were sampled in patients by brushing nasal mucosa and cilia beating was recorded using high speed video microscopy. We first estimated and removed the sensor pattern. We then stabilized the sequence assuming rigid transforms. We retained only the moving parts of the sequence and, after deblurring, characterized and segmented the moving parts in several regions of interest. The frequency was estimated for each region.
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Communication dans un congrès
Cilia 2014, Nov 2014, Paris, France. 2015, <10.1186/2046-2530-4-S1-P85>
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Contributeur : Elodie Puybareau <>
Soumis le : jeudi 16 juin 2016 - 16:40:39
Dernière modification le : lundi 9 janvier 2017 - 11:58:12

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Élodie Puybareau, Hugues Talbot, Gabriel Pelle, Bruno Louis, Laurent Najman, et al.. Automatic detection of beating cilia with frequencies estimations. Cilia 2014, Nov 2014, Paris, France. 2015, <10.1186/2046-2530-4-S1-P85>. <hal-01332964>

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