Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/805265

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Title
Analysis and recognition of touching cell images based on morphological structures
Author/Creator
Yu, Donggang;  Pham, Tuan D.;  Zhou, Xiaobo
Institution
The University of Newcastle. Faculty of Science & Information Technology, School of Design, Communication and Information Technology
Description
Automated analysis and recognition of cell-nuclear phases using fluorescence microscopy images play an important role for high-content screening. A major task of automated imaging based high-content screening is to segment and reconstruct each cell from the touching cell images. In this paper we present new useful method for recognizing morphological structural models of touching cells, detecting segmentation points, determining the number of segmented cells in touching cell image, finding the related data of segmented cell arcs and reconstructing segmented cells. The conceptual frameworks are based on the morphological structures where a series of structural points and their morphological relationships are established. Experiment results have shown the efficient application of the new method for analysis and recognition of touching cell images of high-content screening.
Relation
Computers in Biology and Medicine Vol. 39, Issue 1, p. 27-39
Publisher Link
http://dx.doi.org/10.1016/j.compbiomed.2008.10.006
Date
2009
Publisher
Elsevier
Keyword(s)
cell screening;  touching cell;  morphological structure;  segmentation;  reconstruction;  shape analysis;  direct least square fitting
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/805265
Identifier
ISSN:0010-4825
Reviewed
Reviewed
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Subject
"Computers in Biology and Medicine"
 
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