摘要
超分辨显微成像技术的发展,可为生物医学的研究提供前所未有的机会。基于单分子定位的超分辨显微成像技术由于其相对简单的硬件结构,在生物医学领域的应用较为广泛。单分子定位的超分辨成像巧妙利用荧光发光的特点,针对少量离散的随机发光的荧光分子进行成像,再通过拟合分析实现单分子的高精度空间定位。在这一过程中,荧光单分子的定位算法及图像处理速度显得尤其关键。对单分子定位成像算法的基本原理进行阐述,包括模型和估计器的选择以及重建结果的评估等内容。同时针对拟合方法和功能的不同,对10余种算法进行分类和比较,并选取具有代表性的算法展开讨论和分析,希望对未来开展相关研究提供一定的参考。
The development of super-resolution microscopy has provided an unprecedented opportunity for biomedical research.The single-molecule localization based super-resolution imaging has been widely used in biomedical field due to its relatively simple hardware structure.Single-molecule localization microscopy utilizes the characteristics of fluorescence molecules to randomly activate and image a small number of discrete distributed fluorophores,and then achieves high-precision spatial localization of single molecules by fitting analysis.In this process,the algorithms for single-molecule localization and the speed of image processing are particularly critical.This review briefly elaborated the single-molecule localization algorithms according to their basic principles,including model selection,estimator selection and reconstruction result evaluation methods.Based on that,we classified and compared the capabilities of more than ten developed algorithms,and also selected a few representative algorithms to discuss and introduce their functions.We hope this review would provide reference for future related research.
作者
林婉妮
金璐红
许迎科
Lin Wanni;Jin Luhong;Xu Yingke(Department of Biomedical Engineering,Key Laboratory for Biomedical Engineering of Ministry of Education,Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal,Zhejiang University,Hangzhou 310027,China)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2020年第2期229-237,共9页
Chinese Journal of Biomedical Engineering
基金
科技部重点研发计划(2018YFE0119000)
国家自然科学基金(31571480)
中央高校科研业务费专项(2019FZJD005,2019XZZX003-15)。
关键词
单分子定位
算法
超分辨显微成像
点扩散函数
图像处理
single-molecule localization
algorithm
super-resolution microscopy
point spread function
image processing
