Toward a Morphodynamic Model of the Cell

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Authors

ORTIZ-DE-SOLÓRZANO Carlos MUNOZ-BARRUTIA Arrate MEIJERING Erik KOZUBEK Michal

Year of publication 2015
Type Article in Periodical
Magazine / Source IEEE Signal Processing Magazine
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1109/MSP.2014.2358263
Field Biophysics
Keywords cell model; image segmentation; cell tracking; cell synthesis
Description From a systems biology perspective, the cell is the principal element of information integration. Therefore, understanding the cell in its spatio-temporal context is the key to unraveling many of the still unknown mechanisms of life and disease. The purpose of this manuscript is to review image-processing aspects relevant to the quantification of cell morphology and dynamics. We cover both acquisition (hardware) and analysis (software) related issues, in a multi-scale fashion, from the detection of cellular components to the description of the entire cell in relation to its extracellular environment. Then, we 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.
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