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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

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Publisher copy:
10.1109/IEMBS.2010.5628032

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Institution:
University of Oxford
Division:
MPLS
Department:
Doctoral Training Centre - MPLS
Research group:
Professor J. Alison Noble, Institute of Biomedical Engineering
Oxford college:
Linacre College
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Pathology Dunn School
Research group:
Professor Bass Hassan, Sir William Dunn School
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
Division:
MPLS
Department:
Engineering Science
Research group:
Professor J. Alison Noble, Institute of Biomedical Engineering
Role:
Researcher
Language:
English
Keywords:
Subjects:
UUID:
uuid:b0c57925-c810-4001-a00f-318f9872a4a9
Local pid:
ora:6007
Deposit date:
2012-01-12

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