Automatic Quantification of Filopodia-Based Cell Migration

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MAŠKA Martin MORALES Xabier MUNOZ-BARRUTIA Arrate ROUZAUT Ana ORTIZ-DE-SOLÓRZANO Carlos

Rok publikování 2013
Druh Článek ve sborníku
Konference 10th IEEE International Symposium on Biomedical Imaging
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://dx.doi.org/10.1109/ISBI.2013.6556563
Doi http://dx.doi.org/10.1109/ISBI.2013.6556563
Obor Informatika
Klíčová slova Filopodium segmentation;fluorescence microscopy;steerable filtering;geodesic distance
Popis We present a fully automatic approach to quantitatively analyze filopodia-based migration of fluorescent cells in 3D time-lapse series. The proposed method involves three steps. First, each frame of the time-lapse series is preprocessed using a steerable filter and binarized to obtain a coarse segmentation of the cell shape. Second, a sequence of morphological filters is applied on the coarse binary mask to separate the cell body from individual filopodia. Finally, their length is estimated using a geodesic distance transform. The proposed approach is validated on 3D time-lapse series of lung adenocarcinoma cells. We show that the number of filopodia and their average length can be used as a descriptor to discriminate between different phenotypes of migrating cells.
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