Segmentation of microscope images of living cells

Authors:
Anna Korzynska;Wojciech Strojny;Andreas Hoppe;David Wertheim;Pawel Hoser
Affiliations:
Polish Academy of Sciences, Institute of Biocybernetics and Biomedical Engineering, ul.Ksiecia Trojdena 4, 02-109, Warszawa, Poland;Polish Academy of Sciences, Institute of Biocybernetics and Biomedical Engineering, ul.Ksiecia Trojdena 4, 02-109, Warszawa, Poland;Kingston University, Faculty of Computing, Information Systems and Mathematics, Penrhyn Road, Kingston upon Thames, KT1 2EE, Surrey, UK;Kingston University, Faculty of Computing, Information Systems and Mathematics, Penrhyn Road, Kingston upon Thames, KT1 2EE, Surrey, UK;Polish Academy of Sciences, Institute of Biocybernetics and Biomedical Engineering, ul.Ksiecia Trojdena 4, 02-109, Warszawa, Poland
Venue:
Pattern Analysis & Applications
Year:
2007

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Abstract

This paper describes a segmentation method combining a texture based technique with a contour based method. The technique is designed to enable the study of cell behaviour over time by segmenting brightfield microscope image sequences. The technique was tested on artificial images, based on images of living cells and on real sequences acquired from microscope observations of neutrophils and lymphocytes as well as on a sequence of MRI images. The results of the segmentation are compared with the results of the watershed and snake segmentation methods. The results show that the method is both effective and practical.