Cell Population Tracking and Lineage Construction with Spatiotemporal Context

Cell Population Tracking and Lineage Construction with Spatiotemporal Context
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DOI:
10.1007/978-3-540-75759-7_36
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发表时间:
2007-10
期刊:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
--
通讯作者:
Kang Li;Mei Chen;T. Kanade
Kang Li;Mei Chen;T. Kanade
中科院分区:
其他
文献类型:
--
作者:
Kang Li;Mei Chen;T. Kanade

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Automated visual-tracking of cell populationsin vitrousing phase contrast time-lapse microscopy is vital for quantitative, systematic and high-throughput measurements of cell behaviors. These measurements include the spatiotemporal quantification of migration, mitosis, apoptosis, and cell lineage. This paper presents an automated cell tracking system that can simultaneously track and analyze thousands of cells. The system performs tracking by cycling through frame-by-frame track compilation and spatiotemporal track linking, combining the power of two tracking paradigms. We applied the system to a range of cell populations including adult stem cells. The system achieved tracking accuracies in the range of 83.8%–92.5%, outperforming previous work by up to 8%.