Name
Abstract | ||
|---|---|---|
This article describes an image analysis framework for the characterization and analysis of cell trajectories considering the following three biologically relevant parameters: (a) the behavior of each individual cell; (b) interactions between each pair of cells; and (c) interactions between each cell and its environment. The potential of the overall framework is illustrated with respect to real cell displacement data. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICIAP.2003.1234062 | ICIAP |
Keywords | Field | DocType |
overall framework,individual cell,image analysis framework,cell movement image analysis,real cell displacement data,biologically relevant parameter,image analysis | Cell movement,Computer vision,Cellular biophysics,Pattern recognition,Computer science,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
0-7695-1948-2 | 1 | 0.35 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luciano da Fontoura Costa | 1 | 542 | 63.09 |
| David Schubert | 2 | 16 | 4.01 |