DocumentCode
529229
Title
Cell segmentation from phase-contrast images using hybrid watershed and region growing algorithm for genomic drug discovery
Author
Orikawa, Jo ; Tanaka, Toshiyuki
Author_Institution
Dept. of Appl. Phys. & Physico-Inf., Keio Univ., Yokohama, Japan
fYear
2010
fDate
18-21 Aug. 2010
Firstpage
84
Lastpage
88
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
drugs; genomics; image segmentation; medical image processing; cell segmentation; genomic drug discovery; hybrid watershed; phase microscope; phase-contrast images; region growing algorithm; Drugs; Genomics; Image segmentation; Microscopy; Pixel; Shape; Transforms; Phase microscope; genomic drug discovery; image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference 2010, Proceedings of
Conference_Location
Taipei
Print_ISBN
978-1-4244-7642-8
Type
conf
Filename
5602436
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