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@inproceedings{1094756,
author = {Maška, Martin and Morales, Xabier and MuñozandBarrutia, Arrate and Rouzaut, Ana and OrtizanddeandSolórzano, Carlos},
address = {San Francisco},
booktitle = {10th IEEE International Symposium on Biomedical Imaging},
doi = {http://dx.doi.org/10.1109/ISBI.2013.6556563},
keywords = {Filopodium segmentation;fluorescence microscopy;steerable filtering;geodesic distance},
howpublished = {elektronická verze "online"},
language = {eng},
location = {San Francisco},
isbn = {978-1-4673-6454-6},
pages = {668-671},
publisher = {IEEE},
title = {Automatic Quantification of Filopodia-Based Cell Migration},
url = {http://dx.doi.org/10.1109/ISBI.2013.6556563},
year = {2013}
}
TY - JOUR
ID - 1094756
AU - Maška, Martin - Morales, Xabier - Muñoz-Barrutia, Arrate - Rouzaut, Ana - Ortiz-de-Solórzano, Carlos
PY - 2013
TI - Automatic Quantification of Filopodia-Based Cell Migration
PB - IEEE
CY - San Francisco
SN - 9781467364546
KW - Filopodium segmentation;fluorescence microscopy;steerable filtering;geodesic distance
UR - http://dx.doi.org/10.1109/ISBI.2013.6556563
N2 - 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.
ER -
MAŠKA, Martin, Xabier MORALES, Arrate MUÑOZ-BARRUTIA, Ana ROUZAUT and Carlos ORTIZ-DE-SOLÓRZANO. Automatic Quantification of Filopodia-Based Cell Migration. Online. In \textit{10th IEEE International Symposium on Biomedical Imaging}. San Francisco: IEEE, 2013. p.~668-671. ISBN~978-1-4673-6454-6. Available from: https://dx.doi.org/10.1109/ISBI.2013.6556563. [citováno 2024-04-23]
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