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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 a 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, s.~668-671. ISBN~978-1-4673-6454-6. Dostupné z: https://dx.doi.org/10.1109/ISBI.2013.6556563.
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