Textural feature based cell segmentation method for isolating Chinese hamster ovary cells

  • AOTAKE Shuntaro
    Department of Computational Int elligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering , Tokyo Institute of Technology
  • ATUPELAGE Chamidu
    Imaging Science and Engineering Laboratory , Tokyo Institute of Technology
  • AOKI Kota
    Imaging Science and Engineering Laboratory , Tokyo Institute of Technology
  • NAGAHASHI Hirosi
    Imaging Science and Engineering Laboratory , Tokyo Institute of Technology
  • KIGA Daisuke
    Department of Computational Int elligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering , Tokyo Institute of Technology

Bibliographic Information

Other Title
  • 顕微鏡画像における テクスチャ解析 を用いた細胞領域抽出 に関する研究

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Description

Analysis of cellular behavior is signif icant for studying cell cycle and detecting anti cancer drugs.Isolating individual cells in confocal microscopic images of non stained live cell cultures is very difficult process. Because these images do not have adequate textural variations and the cell s are often overlap in consecutive focal planes. Manual cell segmentation requires massive labor and it is a time consuming process. This paper describes a automated cell segmentation method for localizing the individual cells of Chinese hamster ovary cell culture. K means clustering method is used to extract the cellular regions from the background. Subsequently, level set method is used to determine the boundaries of individual cells. The result indicates the significance of the proposed method as it appr oximates the boundaries of cells, which are placed very close r or overlapped in each other.

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Details 詳細情報について

  • CRID
    1390289225020595712
  • NII Article ID
    130008081263
  • DOI
    10.11371/aiieej.43.0_20
  • ISSN
    24364398
    24364371
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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