Reliable cell tracking by global data association

Ryoma Bise, Zhaozheng Yin, Takeo Kanade

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

64 被引用数 (Scopus)

抄録

Automated cell tracking in populations is important for research and discovery in biology and medicine. In this paper, we propose a cell tracking method based on global spatio-temporal data association which considers hypotheses of initialization, termination, translation, division and false positive in an integrated formulation. Firstly, reliable tracklets (i.e., short trajectories) are generated by linking detection responses based on frame-by-frame association. Next, these tracklets are globally associated over time to obtain final cell trajectories and lineage trees. During global association, tracklets form tree structures where a mother cell divides into two daughter cells. We formulate the global association for tree structures as a maximum-a-posteriori (MAP) problem and solve it by linear programming. This approach is quantitatively evaluated on sequences with thousands of cells captured over several days.

本文言語英語
ホスト出版物のタイトル2011 8th IEEE International Symposium on Biomedical Imaging
ホスト出版物のサブタイトルFrom Nano to Macro, ISBI'11
ページ1004-1010
ページ数7
DOI
出版ステータス出版済み - 2011
外部発表はい
イベント2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, 米国
継続期間: 3 30 20114 2 2011

出版物シリーズ

名前Proceedings - International Symposium on Biomedical Imaging
ISSN(印刷版)1945-7928
ISSN(電子版)1945-8452

その他

その他2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country米国
CityChicago, IL
Period3/30/114/2/11

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

フィンガープリント 「Reliable cell tracking by global data association」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル