AUTOMATIC ESTIMATION OF SIZE PARAMETERS USING VERIFIED COMPUTERIZED STEREOANALYSIS
AUTOMATIC ESTIMATION OF SIZE PARAMETERS USING VERIFIED COMPUTERIZED STEREOANALYSIS
复制标题
使用经过验证的计算机立体分析自动估计尺寸参数
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
D. Ingram
中科院分区：
文献类型：
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作者：
P. Mouton;J. Durgavich;D. Ingram
最先进的计算机体视学系统将联合收割机高分辨率视频显微镜和硬件软件集成与体视学方法相结合，以帮助用户量化对生物医学研究重要的多维参数，包括体积、表面积、长度、数量、它们的变化和空间分布。目前，对受过训练的非专家用户与感兴趣的目标特征之间的持续交互的要求限制了这些系统的吞吐量效率。为了解决这个问题，我们开发了一种新的方法，自动体视学分析的2-D图像，验证的计算机立体分析（CSTR）。该方法最大限度地减少了用户与感兴趣的高对比度[高信噪比（S：N）]生物对象的交互需求。的性能测试的方法证实了显着增加的效率，总的对象体积（大小）估计，没有损失的准确性或精度相比，传统的计算机化体视学。将高效荧光显微镜广泛应用于组织切片上的高对比度生物对象，可以降低劳动力成本，增强假设检验，并加速专注于改善健康和疾病管理的生物医学研究的进展。
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. 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.