DocumentCode :
2528181
Title :
Automated characterization of cellular migration phenomena
Author :
Beaudry, Christian ; Berens, Michael E. ; Doker, T.E. ; Joy, Anna M. ; Karam, Lina J. ; Lacroix, Zoé ; Lutfi, Jad A. ; Motoru, Sai ; Renaut, Rosemary A. ; Rich, Ian J.
Author_Institution :
Translalional Genomies Res. Inst., Phoenix. AZ, USA
fYear :
2005
fDate :
8-11 Aug. 2005
Firstpage :
185
Lastpage :
186
Abstract :
A new approach for cell migration analysis is presented from an automated image segmentation and ROI-compression. ROI-compression is accomplished through classical edge detection technique, followed by image opening to help identify the cell-occupied image region. That region is then compressed for better archival and analysis, to more efficiently identify migration rate and dispersion. Combining our approach with compression techniques such as offered by JPEG2000 will enhance the analysis of the images by providing the ability to vary parameters, work on compressed domain including proximity-based clustering of cells and cell count, etc.
Keywords :
cell motility; data compression; edge detection; image coding; image segmentation; medical image processing; JPEG2000; ROI-compression; automated image segmentation; cell count; cellular migration phenomena; edge detection technique; image opening; proximity-based cell clustering; Bioinformatics; Biological system modeling; Bladder; Cancer; Image coding; Image edge detection; Image storage; Laboratories; Pathology; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN :
0-7695-2442-7
Type :
conf
DOI :
10.1109/CSBW.2005.26
Filename :
1540591
Link To Document :
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