TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells

Logo poskytovatele

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
Název česky TRAgen: nástroj pro generování syntetických časosběrných obrazových sekvencí živých buněk
Autoři

ULMAN Vladimír ORÉMUŠ Zoltán SVOBODA David

Rok publikování 2015
Druh Článek ve sborníku
Konference Proceedings of 18th International Conference on Image Analysis and Processing
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1007/978-3-319-23231-7_56
Obor Informatika
Klíčová slova Biomedical images; Simulations; Evaluation; Cell Tracking
Přiložené soubory
Popis 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.