title: [Investigations about ascertainment of exact morphological indices for the functionally activity of islets cells by means of electron optical characterizing and succeeded automatically image analysis of metal-containing secreting granules (author's transl)].
abstract: Biological image analysis with the "Quantimet 720" has been surrounded to date by difficulties due to the complexity of the image itself, and the difficulty of the Quantimet to discriminate between different objects on the basis of their grey levels alone (Bradbury 1975). Although the makers of image analysing computers try to diminish these difficulties by contructing new models of computers in future, we have the opinion, that it is possible to receive already today excellent results in image analysing of structures in biology and medicine under the following condition: selective staining of objects, we want to measure by simultaneous discriminating of those structures, which influence negatively the image analysing on the basis of their grey levels.
mesh_terms: D000818:Animals; D003594:Cytoplasmic Granules / Q000032:analysis; D003720:Densitometry / Q000379:methods; D001330:Electronic Data Processing; D007515:Islets of Langerhans / Q000032:analysis / Q000378:metabolism / Q000648:ultrastructure*; D008670:Metals / Q000032:analysis; D051381:Rats
chemical_list: D008670:Metals
vernacular_title: Untersuchungen zur Ermittlung möglichst exakter morphologischer Kennziffern für die Funktionsaktivität von Inselzellen mittels elektronenoptischer Charakterisierung und nachfolgender automatischer Bildanalyse metallhaltiger Sekretgranula