一覧に戻る

タイトル
  • en Noninvasive measurement of cell/colony motion using image analysis methods to evaluate the proliferative capacity of oral keratinocytes as a tool for quality control in regenerative medicine
  • ja 口腔ケラチノサイトの増殖能を評価するための画像解析法を用いた細胞/コロニー運動の非侵襲的測定 : 再生医療用細胞品質管理ツールとして
作成者
    • en Hoshikawa, Emi ja 干川, 絵美
アクセス権 open access
権利情報
主題
  • Other en Oral keratinocyte
  • Other en quality control
  • Other en regenerative medicine
  • Other en cell/colony motion
  • Other en image analysis
内容注記
  • Abstract en Image-based cell/colony analyses offer promising solutions to compensate for the lack of quality control (QC) tools for noninvasive monitoring of cultured cells, a regulatory challenge in regenerative medicine. Here, the feasibility of two image analysis algorithms, optical flow and normalised cross-correlation, to noninvasively measure cell/colony motion in human primary oral keratinocytes for screening the proliferative capacity of cells in the early phases of cell culture were examined. We applied our software to movies converted from 96 consecutive time-lapse phase-contrast images of an oral keratinocyte culture. After segmenting the growing colonies, two indices were calculated based on each algorithm. The correlation between each index of the colonies and their proliferative capacity was evaluated. The software was able to assess cell/colony motion noninvasively, and each index reflected the observed cell kinetics. A positive linear correlation was found between cell/colony motion and proliferative capacity, indicating that both algorithms are potential tools for QC.
  • Other en Journal of Tissue Engineering, 2019, 10, 1-12.
  • Other ja 新大院博(歯)第482号
言語
  • eng
資源タイプ doctoral thesis
資源識別子 HDL http://hdl.handle.net/10191/0002000370 , URI https://niigata-u.repo.nii.ac.jp/records/2000370
関連
  • DOI https://doi.org/10.1177/2041731419881528
学位情報
  • 学位授与番号 甲第4874号
  • 学位授与機関
    • 識別子名 kakenhi
    • 識別子 13101
    • 機関名称 ja 新潟大学 en Niigata University
  • 学位授与年月日 2021-03-23
  • 学位名 ja 博士(歯学)
ファイル
    • fulltext 本文
    • 1.19MB (application/pdf)
      • Available2
    • abstract 要旨
    • 239KB (application/pdf)
      • Available2
コンテンツ更新日時 2023-06-26