DocumentCode
3506019
Title
Automated segmentation and alignment of mitotic nuclei for kymograph visualisation
Author
Li, Simon ; Wakefield, James ; Noble, J. Alison
Author_Institution
Dept of Eng. Sci., Univ. of Oxford, Oxford, UK
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
622
Lastpage
625
Abstract
The mechanics of many biological processes can only be uncovered through the analysis of spatio-temporal data. Kymographs are a popular tool for visualising dynamic processes whose movements can be mapped into a single dimension, such as mitosis, or cell division. However, global movements of a cell means the region of interest (ROI) used to create the kymograph must move with each frame. Here we present an automated algorithm for the selection of dynamic ROIs to allow the construction of kymographs of proteins associated with the mitotic spindle in Drosophila embryos. We segment a dividing nucleus using a level set coupled to a shape model, which we then use to align the segmented nuclei to a common frame of reference.
Keywords
biochemistry; cellular biophysics; data visualisation; diagnostic radiography; image segmentation; medical image processing; molecular biophysics; physiological models; proteins; tumours; automated segmentation algorithm; cell division; drosophila embryos; image data; kymograph visualisation; mitotic nuclei; mitotic spindle; proteins; region-of-interest; shape model; tumourigenesis; Biological cells; Data visualization; Embryo; Image segmentation; Level set; Proteins; Shape; Cells (biology); Image segmentation; Microscopy; Visualisation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872484
Filename
5872484
Link To Document