IEEE transactions on medical imaging, 2009-05, Vol.28 (5), p.720-738
2009
Details
- Autor(en) / Beteiligte
- Titel
- A Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation
- Ist Teil von
- IEEE transactions on medical imaging, 2009-05, Vol.28 (5), p.720-738
- Ort / Verlag
- United States: IEEE
- Erscheinungsjahr
- 2009
- Link zum Volltext
- Quelle
- IEEE/IET Electronic Library (IEL)
- Beschreibungen/Notizen
- This work presents a unified framework for whole cell segmentation of surface stained living cells from 3-D data sets of fluorescent images. Every step of the process is described, image acquisition, prefiltering, ridge enhancement, cell segmentation, and a segmentation evaluation. The segmentation results from two different automated approaches for segmentation are compared to manual segmentation of the same data using a rigorous evaluation scheme. This revealed that combination of the respective cell types with the most suitable microscopy method resulted in high success rates up to 97%. The described approach permits to automatically perform a statistical analysis of various parameters from living cells.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0278-0062eISSN: 1558-254XDOI: 10.1109/TMI.2008.2011522Titel-ID: cdi_proquest_miscellaneous_34454208
- Format
- –
- Schlagworte
- Algorithms, Animals, Automated whole cell segmentation, Cancer, Cell Membrane - ultrastructure, Cells (biology), Cells, Cultured, Clustering algorithms, Data Interpretation, Statistical, Fluorescence, Fluorescent Dyes, Humans, Image Processing, Computer-Assisted - methods, Image segmentation, Labeling, level set, mathematical morphology, Microscopy, Fluorescence, Normal Distribution, PC12 Cells, Rats, region differencing, Reproducibility of Results, segmentation evaluation, Shape, Statistical analysis, Subtraction Technique, Surface morphology, watershed