A Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation

E. Hodneland, N.V. Bukoreshtliev, T.W. Eichler, Xue-Cheng Tai, S. Gurke, A. Lundervold, H.-H. Gerdes
2009 IEEE Transactions on Medical Imaging  
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
more » ... ve 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.
doi:10.1109/tmi.2008.2011522 pmid:19131295 fatcat:mrqyxpug4jcn3m7f65ugl7klcq