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Spatio-temporal cell segmentation and tracking for automated screening

Abstract:

A growing number of screening applications require the automated monitoring of cell populations including cell segmentation, tracking, and measurement. We present general methods for cell segmentation and tracking that exploit the spatiotemporal nature of the task to constrain segmentation. The images are de-noised and segmented by combining wavelet coefficients at various levels, thus enabling extraction of cells in images with low contrast-to-noise ratios. Each track of clustered cells resu...

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Publisher copy:
10.1109/ISBI.2008.4541011

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Clinical Medicine, Biomedical Research Centre
Role:
Author
Journal:
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
Pages:
376-379
Publication date:
2008-01-01
DOI:
URN:
uuid:a3142404-f26c-4ce8-af8e-84162bde8ef1
Source identifiers:
439057
Local pid:
pubs:439057

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