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Journal article

Segmentation of cell clumps for quantitative analysis

Abstract:

The increasing amounts of microscopy data generated in cell biology requires the development of automated tools for the quantitative analysis of images. Clumps of cells are difficult to segment due to the frequent lack of clear boundaries between cells and are often ignored, but communication between cells is an intrinsic part of the response of cells to their environment. In addition cells often show a large variation in their responses, even within a clump, and an accurate segmentation is t...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Author's Original

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Publisher copy:
10.1109/IEMBS.2010.5628032

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Institution:
University of Oxford
Research group:
Professor J. Alison Noble, Institute of Biomedical Engineering
Oxford college:
Linacre College
Department:
Mathematical, Physical & Life Sciences Division - Other - Life Sciences Interface Doctoral Training Centre
Role:
Author

Contributors

Institution:
University of Oxford
Research group:
Professor Bass Hassan, Sir William Dunn School
Department:
Medical Sciences Division - Pathology
Role:
Researcher
Institution:
University of Oxford
Research group:
Professor Bass Hassan, Sir William Dunn School
Department:
Medical Sciences Division - Medical Oncology
Role:
Researcher
Institution:
University of Oxford
Research group:
Professor J. Alison Noble, Institute of Biomedical Engineering
Department:
Mathematical, Physical & Life Sciences Division - Engineering Science
Role:
Researcher
Publisher:
Institute of Electrical and Electronics Engineers (IEEE) Publisher's website
Journal:
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Journal website
Pages:
4813 - 4816
DOI:
ISSN:
1557-170X
URN:
uuid:b0c57925-c810-4001-a00f-318f9872a4a9
Local pid:
ora:6007
ISBN:
978-1-4244-4123-5

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