Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MSP.2014.2358263 | Signal Processing Magazine, IEEE |
Keywords | DocType | Volume |
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 | Journal | 32 |
Issue | ISSN | Citations |
1 | 1053-5888 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ortiz-de-Solórzano, C. | 1 | 0 | 0.34 |
| Muñoz-Barrutia, A. | 2 | 0 | 0.34 |
| Erik H. W. Meijering | 3 | 865 | 77.87 |
| Michal Kozubek | 4 | 114 | 17.80 |