D
2013
Automatic Quantification of Filopodia-Based Cell Migration
MAŠKA, Martin, Xabier MORALES, Arrate MUÑOZ-BARRUTIA, Ana ROUZAUT, Carlos ORTIZ-DE-SOLÓRZANO et. al.
Basic information
Original name
Automatic Quantification of Filopodia-Based Cell Migration
Authors
MAŠKA, Martin (203 Czech Republic, guarantor, belonging to the institution), Xabier MORALES (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Ana ROUZAUT (724 Spain) and Carlos ORTIZ-DE-SOLÓRZANO (724 Spain)
Edition
San Francisco, 10th IEEE International Symposium on Biomedical Imaging, p. 668-671, 4 pp. 2013
Other information
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/13:00068040
Organization unit
Faculty of Informatics
Keywords in English
Filopodium segmentation;fluorescence microscopy;steerable filtering;geodesic distance
Tags
International impact, Reviewed
V originále
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.
Links
EE2.3.30.0009, research and development project | Name: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci |
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