論文

査読有り
2015年11月

Image-based focused counting of dividing cells for non-invasive monitoring of regenerative medicine products

Journal of bioscience and bioengineering
  • Sasaki Kei
  • ,
  • Miyata Hirofumi
  • ,
  • Sasaki Hiroto
  • ,
  • Kang Siu
  • ,
  • Yuasa Tetsuya
  • ,
  • Kato Ryuji

120
5
開始ページ
582
終了ページ
590
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.jbiosc.2015.03.002
出版者・発行元
公益社団法人日本生物工学会

Despite the growing numbers of successful applications in regenerative medicine, biotechnologies for evaluating the quality of cells remain limited. To evaluate the cultured cells non-invasively, image-based cellular assessment method holds great promise. However, although there are various image-processing algorithms, very few studies have focused to prove the effectiveness of phase contrast images with risk assessment example that reflects actual difficulties in regenerative medicine products. In this study, we developed a simple image-processing method to recognize the number of dividing cells in time-course phase-contrast microscopic images, and applied this method to assess the irregular proliferation behavior in normal cells. Practically, as a model, rapid proliferating human fibrosarcoma cells were mixed in normal human fibroblasts in the same culture dish, and their sarcoma existence was evaluated. As a result, the existence of sarcoma population in normal cell sample could be feasibly detected within earliest period of cell culture by their irregular rise of accumulated counts of dividing cells. Our image-processing technique also illustrates the technical effectiveness of combining intra-frame and inter-frame image processing to accurately count only the dividing cells. Our concept of focused counting of dividing cells shows a successful example of image-based analysis to quickly and non-invasively monitor the regular state of regenerative medicine products.

リンク情報
DOI
https://doi.org/10.1016/j.jbiosc.2015.03.002
CiNii Articles
http://ci.nii.ac.jp/naid/110010017126
CiNii Books
http://ci.nii.ac.jp/ncid/AA11307678
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25921220
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000365362300016&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943361505&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84943361505&origin=inward
URL
http://id.ndl.go.jp/bib/026939338
URL
http://search.jamas.or.jp/link/ui/2016248610
ID情報
  • DOI : 10.1016/j.jbiosc.2015.03.002
  • ISSN : 1389-1723
  • eISSN : 1347-4421
  • CiNii Articles ID : 110010017126
  • CiNii Books ID : AA11307678
  • PubMed ID : 25921220
  • SCOPUS ID : 84943361505
  • Web of Science ID : WOS:000365362300016

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