基于随机脉冲编码的超分辨显微成像算法研究  

Research on the Super-Resolution Microscopy Imaging Based on Random Pulse Coding

作　　者：谢创亮 观嘉宁 白玉磊[1] 杨其宇[1] 叶双莉[2] 周延周[1] 

机构地区：[1]广东工业大学自动化学院,广东广州510006 [2]武汉大学印刷与包装系,湖北武汉430072

出　　处：《激光与光电子学进展》2016年第7期144-149,共6页Laser & Optoelectronics Progress

基　　金：广东省自然科学基金(2014A030313519);广州市科技计划项目(2014J4100203)

摘　　要：由于衍射极限的限制,传统的光学显微镜无法获得纳米级别的分辨率。为了突破衍射极限,提出一种基于随机脉冲编码和分时复用的显微成像新方法。可以较高效地对点扩展函数模糊图像进行编码解码,重构出原图像。阐述了该方法的数学原理,并在不同稀疏度编码和不同图像帧数下,进行了仿真分析,结果表明,采用稀疏编码和1000帧左右图像,可以获得被测样品的超分辨率图像。该方法能够突破衍射极限,是一种适合活体细胞研究的有效方法。Due to the limitation of diffraction limit, the conventional optical microcopes are unable to obtain resolution of nanometer scale. In order to break through the diffraction limit, a new method of microscopic imaging based on random pulse coding and time-sharing multiplexing is presented. It can code and decode the indistinct image the of point spread function efficiently, and reconstruct the original image. The mathematical principle of the proposed method is expounded, and the simulation analysis in the different sparseness of coding and different image frames is carried on. The results show that the super-resolution image of the tested sample is obtained using the sparse coding and about 1000 frames image. The proposed method can break through the diffraction limit, and it is effective and suitable for the study of living cells.

关 键 词：成像系统 显微成像 超分辨 随机脉冲 编码解码 

分 类 号：TH74[机械工程—光学工程]