随机光学重构超高分辨显微镜的使用研究与共享管理

doi:10.7517/issn.1674-0475.200812

影像科学与光化学 ›› 2021, Vol. 39 ›› Issue (2): 184-189.DOI: 10.7517/issn.1674-0475.200812

随机光学重构超高分辨显微镜的使用研究与共享管理

尹伟, 刘双双, 方三华

浙江大学医学院, 浙江杭州 310058

收稿日期:2020-08-19 出版日期:2021-03-15 发布日期:2021-03-12
通讯作者: 方三华
基金资助:
2019年度浙江省分析测试项目（LGC19H090001）和2020年浙江省教育厅一般科研项目（Y202045700）

Application Research and Sharing Management of Stochastic Optical Reconstruction Super Resolution Microscope

YIN Wei, LIU Shuangshuang, FANG Sanhua

Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, P. R. China

Received:2020-08-19 Online:2021-03-15 Published:2021-03-12

摘要/Abstract

摘要： 随机光学重构超高分辨成像技术（STORM）采用基于光控荧光分子的单分子定位算法，横向和轴向分辨率分别达到~20 nm和~50 nm。本文结合使用和管理经验，对超高分辨STORM显微镜的原理、软硬件组成和技术参数、样品制备方法、超高分辨图像采集的常用操作流程、环境要求、日常维护、共享平台管理、STORM显微镜的应用等方面加以介绍，并对进一步提高STORM时空分辨率进行展望。

关键词: 随机光学重构, 超高分辨, 共享管理

Abstract: Stochastic Optical Reconstruction Microscope (STORM) uses a single molecule localization algorithm based on optically controlled fluorescent molecules to achieve lateral and axial resolutions up to (~20 nm,~50 nm) respectively. Based on use and management experience, this article introduces the principle of the super resolution STORM microscope, software and hardware components and technical parameters, sample preparation method, the common operation process of super resolution image acquisition, environmental requirements, as well as daily maintenance,management of sharing platform and the applications of STORM microscope. The further improvement of STORM spatial and temporal resolution is prospected.

Key words: stochastic optical reconstruction, super resolution, sharing management

尹伟, 刘双双, 方三华. 随机光学重构超高分辨显微镜的使用研究与共享管理[J]. 影像科学与光化学, 2021, 39(2): 184-189.

YIN Wei, LIU Shuangshuang, FANG Sanhua. Application Research and Sharing Management of Stochastic Optical Reconstruction Super Resolution Microscope[J]. IMAGING SCIENCE AND PHOTOCHEMISTRY, 2021, 39(2): 184-189.

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随机光学重构超高分辨显微镜的使用研究与共享管理

Application Research and Sharing Management of Stochastic Optical Reconstruction Super Resolution Microscope

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