title: A unified framework for automated 3-d segmentation of surface-stained living cells and a comprehensive segmentation evaluation.
abstract: 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.
authors.affiliation: Department of Biomedicine, University of Bergen, 5009 Bergen, Norway. erlend.hodneland@biomed.uib.no
authors.forename: Erlend
authors.initials: E
authors.lastname: Hodneland
authors.forename: Nickolay V
authors.initials: NV
authors.lastname: Bukoreshtliev
authors.forename: Tilo W
authors.initials: TW
authors.lastname: Eichler
authors.forename: Xue-Cheng
authors.initials: XC
authors.lastname: Tai
authors.forename: Steffen
authors.initials: S
authors.lastname: Gurke
authors.forename: Arvid
authors.initials: A
authors.lastname: Lundervold
authors.forename: Hans-Hermann
authors.initials: HH
authors.lastname: Gerdes
mesh_terms: D000465:Algorithms; D000818:Animals; D002462:Cell Membrane / Q000648:ultrastructure*; D002478:Cells, Cultured; D003627:Data Interpretation, Statistical; D005456:Fluorescent Dyes; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence; D016011:Normal Distribution; D016716:PC12 Cells; D051381:Rats; D015203:Reproducibility of Results; D013382:Subtraction Technique
chemical_list: D005456:Fluorescent Dyes