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
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