Quantitative morphodynamic analysis of time-Lapse imaging by edge evolution tracking

Yuki Tsukada, Yuichi Sakumura, Shin Ishii

研究成果: Conference contribution

抄録

To perform morphodynamic profiling from time lapse images of neurite outgrowth, we developed an edge evolution tracking (EET) algorithm, by which cell boundary movements including an arbitrary complex boundary transition are quantified. This algorithm enables us to estimate temporal evolution of cellular edge, and thus to trace the transition of any objective edge movements. We show advantages of EET by comparing it with the other two methods on an artificial data set that imitates neural outgrowth. We also demonstrate the usefulness of our EET by applying it to a data set of time-lapse imaging of neural outgrowth. The results show verification of quantitative profiling for arbitrary complex cell boundary movements.

本文言語English
ホスト出版物のタイトルNeural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers
ページ817-826
ページ数10
PART 2
DOI
出版ステータスPublished - 2008
外部発表はい
イベント14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, Japan
継続期間: 2007 11月 132007 11月 16

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
4985 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other14th International Conference on Neural Information Processing, ICONIP 2007
国/地域Japan
CityKitakyushu
Period07/11/1307/11/16

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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