DocumentCode
2829297
Title
Segmentation of cellular structures in actin tagged fluorescence confocal microscopy images
Author
Matuszewski, B.J. ; Murphy, M.F. ; Burton, D.R. ; Marchant, T.E. ; Moore, C.J. ; Histace, A. ; Precioso, F.
Author_Institution
Appl. Digital Signal & Image Process. Res. Centre, UCLan, Preston, UK
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
3081
Lastpage
3084
Abstract
The paper reports on a novel method for reconstruction of cellular features including cell nuclei and cellular boundaries from actin tagged fluorescence confocal microscopy images. Such reconstruction can provide spatial context for subsequent quantitative analysis of changes to actin organisation and cell morphology in both controlled and stressed cell cultures. The proposed method is fully automatic and is formulated within active contour multiphase level set framework. The derived level set evolution PDEs combine previously proposed curvature and advection flows with propagation flow defined by specially designed set of geodesic distance maps. Additionally the proposed PDEs include additional components to impose known inclusion/exclusion topological constraints between cellular structures. The paper gives an overview of the proposed methodology as well as reports on initial results obtained for monolayer of human prostate cells (PNT2) culture visualised using acting tagged fluorescence confocal microscopy.
Keywords
biology computing; cellular biophysics; image reconstruction; image segmentation; PNT2 culture; actin organisation; actin tagged fluorescence confocal microscopy images; cell morphology; cell nuclei; cellular feature reconstruction; cellular structure segmentation; controlled cell cultures; derived level set evolution PDE; geodesic distance maps; human prostate cell culture; inclusion-exclusion topological constraints; stressed cell cultures; Active contours; Equations; Fluorescence; Image segmentation; Level set; Mathematical model; Microscopy; active contour; cell segmentation; confocal microscopy; geodesic distance; topological constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6116316
Filename
6116316
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