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@inproceedings{1424876,
author = {Peterlík, Igor and Svoboda, David and Ulman, Vladimír and Sorokin, Dmitry and Maška, Martin},
address = {Cham},
booktitle = {Simulation and Synthesis in Medical Imaging},
doi = {http://dx.doi.org/10.1007/978-3-030-00536-8_8},
keywords = {Simulation; 3D time-lapse sequence; Cell deformation; Cell interaction; Filopodia},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham},
isbn = {978-3-030-00535-1},
pages = {71-79},
publisher = {Springer},
title = {Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia},
url = {https://doi.org/10.1007/978-3-030-00536-8_8},
year = {2018}
}
TY - JOUR
ID - 1424876
AU - Peterlík, Igor - Svoboda, David - Ulman, Vladimír - Sorokin, Dmitry - Maška, Martin
PY - 2018
TI - Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia
PB - Springer
CY - Cham
SN - 9783030005351
KW - Simulation
KW - 3D time-lapse sequence
KW - Cell deformation
KW - Cell interaction
KW - Filopodia
UR - https://doi.org/10.1007/978-3-030-00536-8_8
N2 - Complementing collections of 3D time-lapse image data with comprehensive manual annotations is an extremely laborious and often impracticable task, which hinders objective benchmarking of bioimage analysis workflows as well as training of widespread deep-learning-based approaches. In this paper, we present a novel simulation system capable of generating synthetic 3D time-lapse sequences of multiple mutually interacting cells with filopodial protrusions, accompanied by inherently generated reference annotations, in order to stimulate the development of fully 3D bioimage analysis workflows for filopodium segmentation and tracking in complex scenarios with multiple mutually interacting cells. The system integrates its predecessor, which was designed for single-cell, collision-unaware scenarios only, with proactive, mechanics-based handling of collisions between multiple filopodia, multiple cell bodies, or their combinations. We demonstrate its potential on two generated 3D time-lapse sequences of multiple lung cancer cells with curvilinear filopodia, which visually resemble confocal fluorescence microscopy image data.
ER -
PETERLÍK, Igor, David SVOBODA, Vladimír ULMAN, Dmitry SOROKIN and Martin MAŠKA. Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia. Online. In \textit{Simulation and Synthesis in Medical Imaging}. Cham: Springer, 2018, p.~71-79. ISBN~978-3-030-00535-1. Available from: https://dx.doi.org/10.1007/978-3-030-00536-8\_{}8.
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