检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:陈廷爱 陈龙超 李慧[1] 余佳 高玉峰[1] 郑炜[1] CHEN Ting-ai 1 , CHEN Long-chao 2 , LI Hui 1 , YU Jia 1 , GAO Yu-feng 1 , ZHENG Wei 1(1.Research Laboratory for Biomedical Optics and Molecular Imaging,Institute of Biomedical and Health Engineering,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China;2.Vivsen technology(Shenzhen) Company Limited,Shenzhen 518067,China)
机构地区:[1]中国科学院深圳先进技术研究院生物医学光学与分子影像研究室,广东深圳518055 [2]睿芯生命科技(深圳)有限公司,广东深圳518067
出 处:《中国光学》2018年第3期307-328,共22页Chinese Optics
基 金:国家自然科学基金(No.81701744);中国博士后科学基金资助项目(No.2017M612763);广东省粤港合作项目(No.2014B050505013);深圳市基础研究计划(No.YJ20150521144321005;No.JCYJ20150401145529037;No.JCYJ20160608214524052);SIAT优秀青年创新基金(No.2016020)~~
摘 要:结构光照明显微镜(Structured Illumination Microscopy,SIM)通过结构化照明在频率域以空间混频的方式将物体高频信息载入光学系统的探测通带内实现突破衍射极限的超分辨光学显微成像。SIM凭借其较低的激发光强、对荧光染料的非特异性需求以及快速的宽场成像优势已成为活细胞超分辨光学显微成像方面应用最多的技术。本文系统回顾了SIM的技术进展,对SIM的基本原理与实现方法进了详细的分析,重点介绍了本课题组研发的基于光谱分辨的单光子激发超分辨显微镜和结合自适应光学的双光子激发超分辨显微镜这两种最新的SIM技术,最后简要讨论了SIM技术在生物成像中的应用及未来发展方向。Structured illumination microscopy( SIM) is capable of providing super-resolution imaging.It breaks the diffraction limit by moving the high-frequency information of objects into the detectable frequency band of the optical imaging system via frequency mixing.Due to its attractive advantages,such as low intensity illumination,independence of particular fluorescent dyes,and rapid wide-field imaging capability,SIM has become the most popular technique for super-resolution imaging of living cells.This paper first systematically summarizes advances in the development of SIM and introduces corresponding principles at the same time.Then,two novel techniques of SIM developed by our group,including the single-photon excited super-resolution microscopy based on spectral unmixing and the two-photon excited super-resolution microscopy combined with adaptive optics,are particularly introduced in detail.At last,the recent applications and future directions of SIM in biological imaging are briefly discussed.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.166