Author/Editor		Mouton, Peter R; Durgavich, Joel; Ingram, Donald K
Title		Automatic estimation of size parameters using verfied computerized stereoanalysis
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 24, št. 1
Publication year		2005
Volume		str. 41-9
Language		eng
Abstract		State-of-the-art computerized stereology systems combine high-resolution video microscopy 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 [high signal-to-noise ratio (S:N)] 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 precision compared 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 disease.
Descriptors		IMAGE PROCESSING, COMPUTER-ASSISTED BIOMETRY CELL SIZE CELL COUNT