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@inproceedings{1643137,
author = {Svoboda, David and Nečasová, Tereza},
address = {Neuveden},
booktitle = {17th IEEE International Symposium on Biomedical Imaging},
doi = {http://dx.doi.org/10.1109/ISBI45749.2020.9098736},
keywords = {Light Microscopy; Confocal Microscopy; Fluorescence Microscopy; Cells & molecules; Image synthesis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-1-5386-9330-8},
pages = {1608-1612},
publisher = {IEEE},
title = {Image-based Simulations of Tubular Network Formation},
url = {http://2020.biomedicalimaging.org/},
year = {2020}
}
TY - JOUR
ID - 1643137
AU - Svoboda, David - Nečasová, Tereza
PY - 2020
TI - Image-based Simulations of Tubular Network Formation
PB - IEEE
CY - Neuveden
SN - 9781538693308
KW - Light Microscopy
KW - Confocal Microscopy
KW - Fluorescence Microscopy
KW - Cells & molecules
KW - Image synthesis
UR - http://2020.biomedicalimaging.org/
L2 - http://2020.biomedicalimaging.org/
N2 - The image-based simulations in biomedicine play an important role as the real image data are difficult to be fully and precisely annotated. An increasing capability of contemporary computers allows to model and simulate reasonably complicated structures and in the last years also the dynamic processes. In this paper, we introduce a complex 3D model that describes the structure and dynamics of the population of endothelial cells. The model is based on standard cellular Potts model. It describes the formation process of a complex tubular network of endothelial cells fully in 3D together with the simulation of the cell death called apoptosis. The generated network imitates the structure and behavior that can be observed in real phase-contrast microscopy. The generated image data may serve as a benchmark dataset for newly designed detection or tracking algorithms.
ER -
SVOBODA, David and Tereza NEČASOVÁ. Image-based Simulations of Tubular Network Formation. Online. In \textit{17th IEEE International Symposium on Biomedical Imaging}. Neuveden: IEEE, 2020, p.~1608-1612. ISBN~978-1-5386-9330-8. Available from: https://dx.doi.org/10.1109/ISBI45749.2020.9098736.
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