DocumentCode :
272309
Title :
Toward a Morphodynamic Model of the Cell: Signal processing for cell modeling
Author :
Ortiz-de-Solórzano, 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 :
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