title: Image processing in pathology. IV. Internal structure of mitochondria.
abstract: For extensive recording of mitochondrial membrane lengths hitherto statistical methods were applied which only provide mean values. Conventional measurements of the lengths by means of curvimetry or by intersection counts are required for estimating size distributions and secondary parameters. The former method requires expenditure in time, the latter yields only very rough values for single organelles. Automatic image processing is a possible way to obtain more informations. A method for an automatic definition of the internal mitochondria structure is given in this paper and preliminary results are discussed.
mesh_terms: D003201:Computers; D006801:Humans; D008107:Liver Diseases / Q000473:pathology*; D008930:Mitochondria, Liver / Q000033:anatomy & histology / Q000473:pathology*; D013223:Statistics as Topic