Name
Title | ||
|---|---|---|
Multiple nuclei tracking using integer programming for quantitative cancer cell cycle analysis. |
Abstract | ||
|---|---|---|
Automated cell segmentation and tracking are critical for quantitative analysis of cell cycle behavior using time-lapse fluorescence microscopy. However, the complex, dynamic cell cycle behavior poses new challenges to the existing image segmentation and tracking methods. This paper presents a fully automated tracking method for quantitative cell cycle analysis. In the proposed tracking method, we introduce a neighboring graph to characterize the spatial distribution of neighboring nuclei, and a novel dissimilarity measure is designed based on the spatial distribution, nuclei morphological appearance, migration, and intensity information. Then, we employ the integer programming and division matching strategy, together with the novel dissimilarity measure, to track cell nuclei. We applied this new tracking method for the tracking of HeLa cancer cells over several cell cycles, and the validation results showed that the high accuracy for segmentation and tracking at 99.5% and 90.0%, respectively. The tracking method has been implemented in the cell-cycle analysis software package, DCELLIQ, which is freely available. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TMI.2009.2027813 | IEEE Trans. Med. Imaging |
Keywords | Field | DocType |
hela cancer cells,cellular biophysics,division matching strategy,quantitative cancer cell cycle analysis,cell cycle analysis,segmentation and tracking,software packages,neighboring nuclei spatial distribution,multiple nuclei tracking,image segmentation,integer programming,neighboring graph,anti-cancer drug screening,cancer,automated cell segmentation,nuclei morphological appearance,dcelliq software package,time-lapse fluorescence microscopy,medical image processing,complex dynamics,radiology,linear programming,bioinformatics,fluorescence microscopy,fluorescence,cell cycle,biomedical engineering,microscopy,quantitative analysis | Computer vision,Graph,Segmentation,Computer science,Image segmentation,Integer programming,Software,Linear programming,Artificial intelligence,Cell cycle analysis,Multiple nuclei model | Journal |
Volume | Issue | ISSN |
29 | 1 | 1558-254X |
Citations | PageRank | References |
32 | 1.75 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuhai Li | 1 | 244 | 20.68 |
| Xiaobo Zhou | 2 | 827 | 69.95 |
| Jinwen Ma | 3 | 841 | 74.65 |
| Stephen T. C. Wong | 4 | 1081 | 134.56 |