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Analysis of cancer cell morphology in fluorescence microscopy image exploiting shape descriptor

Title
Analysis of cancer cell morphology in fluorescence microscopy image exploiting shape descriptor
Authors
Kang M.-S.Kim H.-R.Kim S.Ryu G.H.Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2016
Journal Title
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN
1605-7422JCR Link
Citation
vol. 9711
Keywords
cancer cell morphologyFluorescence microscopy imageimage analysisshape descriptor
Publisher
SPIE
Indexed
SCOPUS scopus
Abstract
Cancer cell morphology is closely related to their phenotype and activity. These characteristics are important in drug-response prediction for personalized cancer therapeutics. We used multi-channel fluorescence microscopy images to analyze the morphology of highly cohesive cancer cells. First, we detected individual nuclei regions in single-channel images using advanced simple linear iterative clustering. The center points of the nuclei regions were used as seeds for the Voronoi diagram method to extract spatial arrangement features from cell images. Human cancer cell populations form irregularly shaped aggregates, making their detection more difficult. We overcame this problem by identifying individual cells using an image-based shape descriptor. Finally, we analyzed the correlation between cell agglutination and cell shape. © 2016 SPIE.
DOI
10.1117/12.2213829
ISBN
9781628419450
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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