Super-Resolution Fluorescence Microscopy for Single Cell Imaging

被引:16
作者
Feng, Han [1 ,2 ]
Wang, Xiaobo [2 ,3 ,4 ]
Xu, Zhiwei [2 ,4 ]
Zhang, Xiaoju [2 ,4 ,5 ]
Gao, Yongju [2 ,3 ]
机构
[1] Zhengzhou Univ, Henan Prov Peoples Hosp, Dept Pharm, Zhengzhou, Henan, Peoples R China
[2] Zhengzhou Univ, Peoples Hosp, Zhengzhou, Henan, Peoples R China
[3] Zhengzhou Univ, Henan Prov Peoples Hosp, Dept Nucl Med, Zhengzhou, Henan, Peoples R China
[4] Zhengzhou Univ, Henan Prov Peoples Hosp, Clin Res Serv Ctr, Zhengzhou, Henan, Peoples R China
[5] Zhengzhou Univ, Henan Prov Peoples Hosp, Dept Resp Med, Zhengzhou, Henan, Peoples R China
来源
SINGLE CELL BIOMEDICINE | 2018年 / 1068卷
关键词
STED microscopy; SIM; PALM; STORM; Single cell imaging; STIMULATED-EMISSION; LIVE CELLS; SUBDIFFRACTION-RESOLUTION; EXCITATION MICROSCOPY; STED NANOSCOPY; REVEALS; PROTEIN; LIMIT; SPECTROSCOPY; FLUOROPHORE;
D O I
10.1007/978-981-13-0502-3_6
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the past two decades, super-resolution fluorescence microscopy has undergone a dynamic evolution. Following proof-of-concept studies with stimulated emission depletion (STED) microscopy, several new approaches such as structured illumination microscopy (SIM), photoactivation localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM), have been developed for imaging of nanoscale structural details and fast cellular dynamics in biological research. In this chapter, after briefly explaining their principles, we will describe the recent application of these super-resolution techniques in single cell imaging. In addition, the extension of super-resolution microscopy to 3D, multicolor, live-cell imaging and multimodal imaging are also discussed, significantly improving the precision of single cell imaging. Combining with molecular biology, biochemistry and bio-computing algorithms, super-resolution fluorescence microscopy continues to expand its capabilities and provide comprehensive insights into the details of single cells.
引用
收藏
页码:59 / 71
页数:13
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