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