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 the SICE Annual Conference
Pages84-88
Number of pages5
Publication statusPublished - 2010
EventSICE Annual Conference 2010, SICE 2010 - Taipei, Taiwan, Province of China
Duration: 2010 Aug 182010 Aug 21

Other

OtherSICE Annual Conference 2010, SICE 2010
CountryTaiwan, Province of China
CityTaipei
Period10/8/1810/8/21

Fingerprint

Watersheds
Phosphors
Microscopes
Drug Discovery

Keywords

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

ASJC Scopus subject areas

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

Cite this

Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery. / Orikawa, Jo; Tanaka, Toshiyuki.

Proceedings of the SICE Annual Conference. 2010. p. 84-88 5602436.

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

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 the SICE Annual Conference., 5602436, pp. 84-88, SICE Annual Conference 2010, SICE 2010, Taipei, Taiwan, Province of China, 10/8/18.
@inproceedings{f72748ba20d24e19b4c8703bf79249d3,
title = "Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery",
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.",
keywords = "Component, Genomic drug discovery, Image processing, Phase microscope",
author = "Jo Orikawa and Toshiyuki Tanaka",
year = "2010",
language = "English",
isbn = "9784907764364",
pages = "84--88",
booktitle = "Proceedings of the SICE Annual Conference",

}

TY - GEN

T1 - Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery

AU - Orikawa, Jo

AU - Tanaka, Toshiyuki

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Component

KW - Genomic drug discovery

KW - Image processing

KW - Phase microscope

UR - http://www.scopus.com/inward/record.url?scp=78649307316&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649307316&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:78649307316

SN - 9784907764364

SP - 84

EP - 88

BT - Proceedings of the SICE Annual Conference

ER -