DocumentCode
272309
Title
Toward a Morphodynamic Model of the Cell: Signal processing for cell modeling
Author
Ortiz-de-SoloÌrzano, C. ; Muñoz-Barrutia, A. ; Meijering, E. ; Kozubek, M.
Author_Institution
Morphology & Imaging Group, Center for Appl. Med. Res. (CIMA), Pamplona, Spain
Volume
32
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
20
Lastpage
29
Abstract
From a systems biology perspective, the cell is the principal element of information integration. Therefore, understanding the cell in its spatiotemporal context is the key to unraveling many of the still unknown mechanisms of life and disease. This article reviews image processing aspects relevant to the quantification of cell morphology and dynamics. We cover both acquisition (hardware) and analysis (software) related issues, in a multiscale fashion, from the detection of cellular components to the description of the entire cell in relation to its extracellular environment. We then describe ongoing efforts to integrate all this vast and diverse information along with data about the biomechanics of the cell to create a credible model of cell morphology and behavior.
Keywords
biomechanics; biomedical optical imaging; cellular biophysics; diseases; medical image processing; spatiotemporal phenomena; biology perspective; biomechanics; cell behavior; cell dynamics; cell modeling; cell morphology; cellular components detection; disease; extracellular environment; image processing; morphodynamic model; principal element; signal processing; spatiotemporal context; Biomechanics; Biomedical imaging; Cell morphology; Cells (biology); Diseases; Image resolution; Spatiotemporal phenomenal;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2014.2358263
Filename
6978023
Link To Document