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@inproceedings{1300779,
author = {Ulman, Vladimír and Orémuš, Zoltán and Svoboda, David},
address = {Heidelberg, Německo},
booktitle = {Proceedings of 18th International Conference on Image Analysis and Processing},
doi = {http://dx.doi.org/10.1007/978-3-319-23231-7_56},
editor = {Vittorio Murino, Enrico Puppo, Gianni Vernazza},
keywords = {Biomedical images; Simulations; Evaluation; Cell Tracking},
howpublished = {paměťový nosič},
language = {eng},
location = {Heidelberg, Německo},
isbn = {978-3-319-23230-0},
pages = {623-634},
publisher = {Springer International Publishing},
title = {TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells},
year = {2015}
}
TY - JOUR
ID - 1300779
AU - Ulman, Vladimír - Orémuš, Zoltán - Svoboda, David
PY - 2015
TI - TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells
PB - Springer International Publishing
CY - Heidelberg, Německo
SN - 9783319232300
KW - Biomedical images
KW - Simulations
KW - Evaluation
KW - Cell Tracking
N2 - In biomedical image processing, correct tracking of individual cells is important task for the study of dynamic cellular processes. It is, however, often difficult to decide whether obtained tracking results are correct or not. This is mainly due to complexity of the data that can show hundreds of cells, due to improper data sampling either in time or in space, or when the time-lapse sequence consists of blurred noisy images. This prohibits manual extraction of reliable ground truth (GT) data as well. Nonetheless, if reliable testing data with GT were available, one could compare the results of the examined tracking algorithm with the GT and assess its performance quantitatively. In this paper, we introduce a novel versatile tool capable of generating 2D image sequences showing simulated living cell populations with GT for evaluation of biomedical tracking. The simulated events include namely cell motion, cell division, and cell clustering up to tissue-level density. The method is primarily designed to operate at inter-cellular scope.
ER -
ULMAN, Vladimír, Zoltán ORÉMUŠ and David SVOBODA. TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells. In Vittorio Murino, Enrico Puppo, Gianni Vernazza. \textit{Proceedings of 18th International Conference on Image Analysis and Processing}. Heidelberg, Německo: Springer International Publishing, 2015, p.~623-634. ISBN~978-3-319-23230-0. Available from: https://dx.doi.org/10.1007/978-3-319-23231-7\_{}56.
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