Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Motile Cells with Growing Filopodia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00094698" target="_blank" >RIV/00216224:14330/17:00094698 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ISBI.2017.7950644" target="_blank" >http://dx.doi.org/10.1109/ISBI.2017.7950644</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI.2017.7950644" target="_blank" >10.1109/ISBI.2017.7950644</a>
Alternative languages
Result language
angličtina
Original language name
Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Motile Cells with Growing Filopodia
Original language description
The existence of benchmark datasets is essential to objectively evaluate various image analysis methods. Nevertheless, manual annotations of fluorescence microscopy image data are very laborious and not often practicable, especially in the case of 3D+t experiments. In this work, we propose a simulation system capable of generating 3D time-lapse sequences of single motile cells with filopodial protrusions, accompanied by inherently generated ground truth. The system consists of three globally synchronized modules, each responsible for a separate task: the evolution of filopodia on a molecular level, linear elastic deformation of the entire cell with filopodia, and generation of realistic, time-coherent cell texture. The capability of our system is demonstrated by generating a synthetic 3D time-lapse sequence of a single lung cancer cell with two growing filopodia, visually resembling its real counterpart acquired using a confocal fluorescence microscope.
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/GJ16-03909Y" target="_blank" >GJ16-03909Y: Development of Reliable Methods for Automated Quantitative Characterization of Cell Motility in Fluorescence Microscopy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
14th IEEE International Symposium on Biomedical Imaging
ISBN
9781509011728
ISSN
1945-7928
e-ISSN
—
Number of pages
5
Pages from-to
822-826
Publisher name
IEEE
Place of publication
Melbourne
Event location
Melbourne, Australia
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000414283200191