Segmentation of bone marrow stromal cells in phase contrast microscopy images
Bradhurst, Christopher J., Boles, Wageeh W., & Xiao, Yin (2008) Segmentation of bone marrow stromal cells in phase contrast microscopy images. In International Conference Image and Vision Computing 2008, 25-28 November 2008, Christchurch, New Zealand.
The morphology of bone marrow stromal cells (BMSCs) and the nature of phase contrast images make segmentation of such images challenging as many standard segmentation approaches do not work. This presents an obstacle to the development of systems that could use pattern recognition (PR) techniques to assess culture quality, since successful segmentation is an important precursor to successful pattern recognition. A method is presented for image normalisation and segmentation of cell regions within sub-confluent cell cultures of human bone marrow stromal cells, including a novel method of dealing with the halo associated with phase contrast images. The proposed method was evaluated by measuring its effect on the accuracy of a subsequent PR stage that was trained to discriminate between two BMSC cultures of differing quality. The accuracy achieved averaged 93% across four commonly used PR algorithms, corresponding to an overall accuracy gain of 17% compared to non-normalised, unsegmented images.
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|Item Type:||Conference Paper|
|Keywords:||segmentation, phase contrast, bone marrow stromal cells, mesenchymal stem cells, pattern recognition|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Current > Institutes > Institute of Health and Biomedical Innovation
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2008 IEEE|
|Deposited On:||11 Dec 2008 08:08|
|Last Modified:||01 Mar 2012 00:12|
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