基于压缩感知STORM超分辨成像与像素的关系  

Relationship of STORM super-resolution imaging and pixel based on compressive sensing

作　　者：程涛[1,2,3] 陈丹妮[1,3] CHENG Tao CHEN Dan- ni(Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province,College of Optoelectronic Engineering,Shenzhen University,Shenzhen Guangdong 518060 Automotive ＆ Transportation Engineering Institute,Guangxi University of Science and Technology,Liuzhou Guangxi 545006 Shenzhen Key Laboratory of Micro-Nano Measuring and Imaging in Biomedical Optics of Shenzhen,College of Optoelectronic Engineering, Shenzhen University, Shenzhen Guangdong 518060, China)

机构地区：[1]深圳大学光电工程学院,光电子器件与系统(教育部/广东省)重点实验室,广东深圳518060 [2]广西科技大学汽车与交通学院,广西柳州545006 [3]深圳大学光电工程学院,深圳生物医学光学微纳检测与成像重点实验室,广东深圳518060

出　　处：《电子显微学报》2017年第3期264-272,共9页Journal of Chinese Electron Microscopy Society

基　　金：国家重点基础研究发展计划(No.2012CB825802);国家自然科学基金资助项目(Nos.61335001,61178080,61235012,11004136,41461082,81660296);国家重大科学仪器设备开发专项(No.2012YQ15009203);中国博士后科学基金资助项目(No.2016M592525);广西自然科学基金资助项目(No.2014GXNSFAA118285)

摘　　要：针对基于压缩感知STORM(stochastic optical reconstruction microscopy)超分辨成像效果差的不足,提出采用高分辨相机改善基于PSF测量矩阵性能的方法。该方法能够改善基于PSF测量矩阵的约束等距性(restricted isometry property,RIP),从而达到提高重构效果的目的。实验结果表明,采用高分辨相机后基于PSF(point spread function)测量矩阵的列不相关性更好,重构能力、定位准确度和识别率都得到极大改善。同时探讨了以传统指标体系评价基于压缩感知的超分辨重构质量的优劣和适用性。发现匈牙利法和质心法的组合方案较能反应真实的基于压缩感知的超分辨重构效果。In view of the deficiency of the STORM （stochastic optical reconstruction microscopy） super resolution imaging based on compressive sensing, a method is proposed to improve the performance of PSF measurement matrix by a higher resolution camera. This method can improve the RIP （ restricted isometry property） of measurement matrix based on PSF （ point spread function） , so as to achieve the goal of improving the reconstruction effect. The experimental results show that column incoherence of measurement matrix based on PSF is better. Reconstruction ability, localization accuracy and detection rate have been greatly improved after the high resolution camera is used. At the same time, the advantages and disadvantages of the traditional indicator system to evaluate the quality of super resolution reconstruction based on compressive sensing are discussed. It is found that the combination of the Hungarian method and the centroid method can better show the effect of the super resolution reconstruction based on compressive sensing.

关 键 词：压缩感知 随机光学重构显微 点扩散函数 超分辨显微成像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]