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Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis
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...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2846554/ https://ncbi.nlm.nih.gov/pubmed/19643704 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2009.2027813 |
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