Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery

Jo Orikawa, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Currently the existing computer analysis system for genomic drug discovery does not take it in to account that when cells are examined microscopically, excitation light or phosphor that is used on this occasion affects them adversely. We focused attention on phase microscope which can observe cells noninvasively. Until now, phase-contrast image has been difficult to process because recognition rate varies according to conditions, and for this, appropriate analyzing system has not been established. The study succeeded location of almost all cells. Moreover, we could segment 70 or 80 percent of those cells using hybrid watershed and region growing algorithm.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
PublisherSociety of Instrument and Control Engineers (SICE)
Pages84-88
Number of pages5
ISBN (Print)9784907764364
Publication statusPublished - 2010 Jan 1

Publication series

NameProceedings of the SICE Annual Conference

Keywords

  • Component
  • Genomic drug discovery
  • Image processing
  • Phase microscope

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Orikawa, J., & Tanaka, T. (2010). Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery. In Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers (pp. 84-88). [5602436] (Proceedings of the SICE Annual Conference). Society of Instrument and Control Engineers (SICE).