DocumentCode :
1890590
Title :
Automated characterization of amoeboid motility
Author :
Xiong, Yuan ; Iglesias, Pablo A.
Author_Institution :
Dept. Electr. & Comput. Eng., Johns Hopkins Univeristy, Baltimore, MD
fYear :
2009
fDate :
18-20 March 2009
Firstpage :
369
Lastpage :
370
Abstract :
Cells use a variety of methods to migrate. One of these, referred to as amoeboid motion, involves alternating cycles of morphological expansion and retraction. Employed by numerous mammalian cell lines including neutrophils and lymphocytes, it is also seen in the metastatic migration of some tumor cells. Amoeboid motility is best understood in the social amoeba Dictyostelium discoideum. It is a complex cellular process driven by highly-organized cytoskeletal dynamics containing numerous molecular species and regulated by an intricate signaling network. An important aspect of studying is to understand how the roles played by these molecules and signaling pathways are integrated. And a widely used approach is to characterize phenotype-specific morphological dynamics among various types of cells.
Keywords :
medical image processing; amoeboid motility automated characterization; morphological expansion; phenotype-specific morphological dynamics; signaling network; social amoeba Dictyostelium discoideum; Capacitive sensors; Cellular networks; Chemical processes; Image processing; Metastasis; Motion pictures; Shape; Signal processing; Skeleton; Tumors; Amoeboid motility; chemotaxis; image processing; pseudopodia; skeletonization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-2733-8
Electronic_ISBN :
978-1-4244-2734-5
Type :
conf
DOI :
10.1109/CISS.2009.5054747
Filename :
5054747
Link To Document :
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