DocumentCode :
2186216
Title :
Quantitative analysis of cellular shape and motility with improved active contours
Author :
Zimmer, C. ; Labruyère, E. ; Meas-Yedid, V. ; Guillén, N. ; Olivo-Marin, J.-C.
Author_Institution :
Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France
fYear :
2002
fDate :
2002
Firstpage :
859
Lastpage :
862
Abstract :
Quantitative studies of cellular motility and morphology require a method to segment and track individual cells in videomicroscopy data. We present an active contour method adapted to address important difficulties of cellular imaging. Detection of low contrast pseudopods is facilitated by using an edge map based on the average intensity deviation field. Separation of cells in contact is facilitated by introducing a repulsion effect between contours. Our method was successfully applied to assess the influence of a particular protein on the motility of the parasite Entamoeba histolytica, and in an ongoing study of chemotaxis.
Keywords :
biological techniques; biology computing; cell motility; cellular biophysics; chemioception; image resolution; image segmentation; image sequences; optical microscopy; proteins; Entamoeba histolytica; average intensity deviation field; cellular imaging; cellular morphology; cellular motility; cellular shape; chemotaxis; control amoeba; edge map; improved active contours; individual cells; low contrast pseudopods; parasite; protein; quantitative analysis; repulsion effect; videomicroscopy data; Active contours; Cells (biology); Equations; Image edge detection; Image segmentation; Immune system; Microscopy; Morphology; Oncology; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
Type :
conf
DOI :
10.1109/ISBI.2002.1029395
Filename :
1029395
Link To Document :
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