Tubular Network Formation Process Using 3D Cellular Potts Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00101094" target="_blank" >RIV/00216224:14330/18:00101094 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-00536-8_10" target="_blank" >http://dx.doi.org/10.1007/978-3-030-00536-8_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00536-8_10" target="_blank" >10.1007/978-3-030-00536-8_10</a>
Alternative languages
Result language
angličtina
Original language name
Tubular Network Formation Process Using 3D Cellular Potts Model
Original language description
The simulations in biomedical imaging serve when the real image data are difficult to be annotated or if they are of limited quantity. An increasing capability of contemporary computers allows to model and simulate complex shapes and dynamic processes. In this paper, we introduce a new model that describes the formation process of a complex tubular network of endothelial cells in 3D. This model adopts the fundamentals of cellular Potts model. The generated network of endothelial cells imitates the structure and behavior that can be observed in real microscopy images. The generated data may serve as a benchmark dataset for newly designed tracking algorithms. Last but not least, the observation of both real and synthetic time-lapse sequences may help the biologists to better understand and model the dynamic processes that occur in live cells.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05048S" target="_blank" >GA17-05048S: Multi-modal live cell image segmentation and tracking</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Simulation and Synthesis in Medical Imaging
ISBN
9783030005351
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
90-99
Publisher name
Springer
Place of publication
Neuveden
Event location
Granada, Španělsko
Event date
Sep 16, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000477752900010