83 KB283 KB34 KB200020242005Durgavich, JoelIngram, Donald K.Mouton, Peter R.številka:1letnik:249 stranistr. 41-49ISSN:1580-3139COBISSID:20443609URN:URN:NBN:SI:doc-O2K2ID1RenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyBiometrijaBiometryCelica, štetjeCelica, velikostceliceCell CountCell SizeImage Processing, Computer-AssistedSlika, obdelava z računalnikomstereologijaAutomatic estimation of size parameters using verfied computerized stereoanalysis|State-of-the-art computerized stereology systems combine high-resolution videomicroscopy and hardware-software integration with stereological methods to assist users in quantifying multidimensional parameters of importance to biomedical research, including volume, surface area, Length, number, their variation and spatial distribution. The requirement for constant interactions between a trained, non-expert user and the targeted features of interest currently limits the throughput efficiency of these systems. To address this issue we developed a novel approach for automatic stereological analysis of 2-D images, Verified Computerized Stereoanalysis (VCS). The VCS approach minimizes the need for user interactions with high contrast šhigh signal-to-noise ratio (S:N)đ biological objects of interest. Performance testing of the VCS approach confirmed dramatic increases in the efficiency of total object volume (size) estimation, without a loss of accuracy or precisioncompared to conventional computerized stereology. The broad application of high efficiency VCS to high-contrast biological objects on tissue sections could reduce labor costs, enhance hypothesis testing, and accelerate the progress of biomedical research focused on improvements in health and the management of diseaseTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike