Schwartz Shimon, Wong Alexander, Clausi David A
Department of Systems Design Engineering, University of Waterloo, Vision and Image Processing Lab research group, Waterloo, ON N2L 3G1, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4365-8. doi: 10.1109/EMBC.2012.6346933.
A novel saliency-guided approach is proposed for improving the acquisition speed of compressive fluorescence microscopy systems. By adaptively optimizing the sampling probability density based on regions of interest instead of the traditional unguided random sampling approach, the proposed saliency-guided compressive fluorescence microscopy approach can achieve high-quality microscopy images using less than half of the number of fluorescence microscopy data measurements required by existing compressive fluorescence microscopy systems to achieve the same level of quality.
提出了一种新颖的显著性引导方法,以提高压缩荧光显微镜系统的采集速度。与传统的无引导随机采样方法不同,所提出的显著性引导压缩荧光显微镜方法通过基于感兴趣区域自适应地优化采样概率密度,能够使用不到现有压缩荧光显微镜系统达到相同质量水平所需荧光显微镜数据测量数量一半的数据量,来获得高质量的显微镜图像。