Publication details
Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | 9th IEEE International Symposium on Biomedical Imaging |
| MU Faculty or unit | |
| Citation | |
| Web | http://dx.doi.org/10.1109/ISBI.2012.6235805 |
| Field | Informatics |
| Keywords | Cell tracking;Chan-Vese model;fluorescence microscopy;level set framework |
| Description | We present a fast and robust approach to tracking whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the enhanced cell boundaries are detected by minimizing the Chan-Vese model in a fast level set-like framework. To allow simultaneous tracking of multiple cells over time, the contour evolution has been integrated with a topological prior exploiting the object indication function. Preliminary tracking experiments on 2D time-lapse series of GFP-transfected adipose-derived stem cells demonstrate high accuracy and short execution times. |