title: Largest contour segmentation: a tool for the localization of spots in confocal images.
abstract: An accurate determination of the 3-D positions of multiple spots in images obtained by confocal microscopy is essential for the investigation of the spatial distribution of specific components or processes in biological specimens. The position of the centroid, as an estimator for the position of a spot, can be calculated on the basis of all voxels that belong to the domain of the spot. For this calculation a domain that defines which voxels belong to the spot must be delimited. To create a boundary for a domain we developed a 3-D image segmentation procedure: the largest contour segmentation (LCS). This procedure is based on an iterative region-growing procedure around each local maximum of intensity. By means of this procedure the position of each spot was determined accurately and automatically. Qualities of the procedure were evaluated by means of simulated test-images as well as 3-D images of real biological specimens.
authors.affiliation: Laboratory for Radiobiology, University of Amsterdam, Amsterdam, The Netherlands.
authors.forename: E M
authors.initials: EM
authors.lastname: Manders
authors.forename: R
authors.initials: R
authors.lastname: Hoebe
authors.forename: J
authors.initials: J
authors.lastname: Strackee
authors.forename: A M
authors.initials: AM
authors.lastname: Vossepoel
authors.forename: J A
authors.initials: JA
authors.lastname: Aten
mesh_terms: D000465:Algorithms; D016477:Artifacts; D002875:Chromosomes / Q000235:genetics / Q000648:ultrastructure; D005456:Fluorescent Dyes; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D018613:Microscopy, Confocal / Q000295:instrumentation / Q000379:methods*; D008863:Microspheres; D016011:Normal Distribution; D009696:Nucleic Acids / Q000235:genetics / Q000648:ultrastructure
chemical_list: D005456:Fluorescent Dyes; D009696:Nucleic Acids