title: The semi-automatic nucleator.
abstract: The nucleator is a well-established manual stereological method of estimating mean cell volume from observations on random cell transects through reference points of the cells. In this paper, we present an automated version of the nucleator that uses automatic segmentation of the boundaries of the cell transects. An expert supervises the process. If the segmentation is judged to be satisfactory, an estimate of the cell volume is calculated automatically on the basis of the whole cell transect. In the remaining cases, the expert intervenes and uses the classical nucleator. The resulting estimator is called the semi-automatic nucleator. In this paper, we study the statistical properties of the semi-automatic nucleator. Formulae for the bias and mean square error are derived. The semi-automatic nucleator may have a small bias but will still in most cases be more efficient than the classical nucleator. Procedures for estimating bias and mean square error from a pilot study are provided. The application of the semi-automatic nucleator is illustrated in a study of somatostatin positive inhibitory interneurons which were genetically labelled with green fluorescent protein (GFP). The cells were sampled with an optical disector. The centre of mass in a central cell transect was used as reference point. It is found in this study that the number of cells needed for obtaining, for instance, a 5% precision of the estimate of mean cell volume is 150 and 189 for the semi-automatic and the classical nucleator, respectively. Taking into account that the time spent analysing one cell is shorter for the semi-automatic nucleator than for the classical nucleator, the semi-automatic nucleator is superior to the classical nucleator.
authors.affiliation: Department of Mathematical Sciences, University of Aarhus, Denmark.
authors.forename: L V
authors.initials: LV
authors.lastname: Hansen
authors.forename: J R
authors.initials: JR
authors.lastname: Nyengaard
authors.forename: J B
authors.initials: JB
authors.lastname: Andersen
authors.forename: E B V
authors.initials: EB
authors.lastname: Jensen
mesh_terms: D000818:Animals; D001331:Automation / Q000379:methods*; D048429:Cell Size; D003584:Cytological Techniques / Q000379:methods*; D049452:Green Fluorescent Proteins / Q000235:genetics / Q000378:metabolism; D007395:Interneurons / Q000166:cytology; D051379:Mice; D008822:Mice, Transgenic; D015233:Models, Statistical; D013194:Staining and Labeling / Q000379:methods
chemical_list: D049452:Green Fluorescent Proteins