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.
['Christian Beaudry', 'Michael E. Berens', 'Tarek El Doker', 'Anna M. Joy', 'Lina J. Karam', 'Zoé Lacroix', 'Jad A. Lutfi', 'Sai Motoru', 'Rosemary A. Renaut', 'Ian J. Rich']
Automated characterization of cellular migration phenomena