Automatic Feature extraction in Wound Healing Videos

نویسندگان

  • Andrés Rodríguez Moreno
  • David M. Shotton
  • Oswaldo Trelles
  • Nicolás Guil Mata
چکیده

We present an automatic feature extraction procedure for the analysis of time-lapse light microscopy wound healing videos, which are used to record the closure of in vitro wounds made in confluent monolayers of cultured epithelial cells under a variety of experimental conditions. Because of the size and complexity of the moving image data type, and hence the length of time required to undertake detailed manual analysis and annotation of the content of such videos, enormous efficiency gains may be achieved by the development of automated systems for the tasks of video content analysis and subsequent content-based querying.

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تاریخ انتشار 2000