Name
Title | ||
|---|---|---|
Tracking Virus Particles in Fluorescence Microscopy Images Using Multi-Scale Detection and Multi-Frame Association |
Abstract | ||
|---|---|---|
Automatic fluorescent particle tracking is an essential task to study the dynamics of a large number of biological structures at a sub-cellular level. We have developed a probabilistic particle tracking approach based on multi-scale detection and two-step multi-frame association. The multi-scale detection scheme allows coping with particles in close proximity. For finding associations, we have dev... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2015.2458174 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Probabilistic logic,Microscopy,Particle tracking,Noise,Optimization,Biology,Trajectory | Spatial analysis,Computer vision,Global optimization,Pattern recognition,Signal-to-noise ratio,Kalman filter,Artificial intelligence,Microscopy,Probabilistic logic,Particle,Trajectory,Mathematics | Journal |
Volume | Issue | ISSN |
24 | 11 | 1057-7149 |
Citations | PageRank | References |
5 | 0.47 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Astha Jaiswal | 1 | 6 | 1.85 |
| William J. Godinez | 2 | 91 | 10.98 |
| Roland Eils | 3 | 644 | 70.09 |
| Maik Jörg Lehmann | 4 | 5 | 1.15 |
| Karl Rohr | 5 | 340 | 48.69 |