The VCS approach minimizes the need for user interactions with high contrast biological objects of interest. To address this issue we developed a novel approach for automatic stereological analysis of 2-D images, Verified Computerized Stereoanalysis (VCS).
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. Stereology Resource Center, 104 Ringneck Court, Chester MD 21619, 2Systems Planning and Analysis, Inc., Alexandria, VA, 22311, 3Laboratory of Experimental Gerontology, National Institute on Aging, National Institutes of Health, 5600 Nathan Shock Drive, Baltimore, MD 21224, e-mail: (Accepted Jannuary 28, 2004) ABSTRACT State-of-the-art computerized stereology systems combine high-resolution video microscopy and hardwaresoftware 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. Image Anal Stereol 2005 24:41-49 Original Research PaperĪUTOMATIC ESTIMATION OF SIZE PARAMETERS USING VERIFIED COMPUTERIZED STEREOANALYSIS PETER R MOUTON1,3, JOEL DURGAVICH2 AND DONALD K INGRAM3 1