Title :
The chaotic behavior of the endoplasmic-reticulum network in time-lapse microscopy images
Author_Institution :
Center for Adv. Inf. Sci. & Technol., Univ. of Aizu, Aizuwakamatsu, Japan
Abstract :
One of the most challenging problems in the study and interpretation of complex biological data is the quantification of the dynamical mechanisms and complexity of the distributions of cells and their organelles in time and space. Such quantification has important implications for computer modeling and simulation of diseases. This paper presents an original investigation into the potential chaos of the dynamics underlying the endoplasmic-reticulum network recorded in time-lapse microscopy images.
Keywords :
biomedical optical imaging; cellular biophysics; chaos; diseases; fluorescence; optical microscopy; cell distributions; chaotic behavior; complex biological data; computer modeling; computer simulation; diseases; endoplasmic-reticulum network; organelles; time-lapse microscopy imaging; Cells (biology); Chaos; Dynamics; Educational institutions; Erbium; Microscopy; Trajectory; ER dynamics; chaos; microscopy images; nonlinear dynamics;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732584
