Research Progress of Super-Resolution Fluorescence Microscopy

被引:5
作者
Wei Aoni [1 ]
Qin Chengbing [1 ,2 ]
Dong Shuai [1 ]
Meng Xinqin [1 ]
Song Yunrui [1 ]
Li Xiangdong [1 ]
Liang Xilong [1 ,3 ]
Zhang Guofeng [1 ]
Chen Ruiyun [1 ]
Hu Jianyong [1 ]
Yang Zhichun [1 ]
Huo Jianzhong
Xiao Liantuan [1 ,2 ]
Jia Suotang [1 ]
机构
[1] Shanxi Univ, State Key Lab Quantum Opt & Quantum Opt Devices, Inst Laser Spect, Collaborat Innovat Ctr Extreme Opt, Taiyuan 030006, Shanxi, Peoples R China
[2] Taiyuan Univ Technol, Coll Phys, Taiyuan 030024, Shanxi, Peoples R China
[3] Shanxi Med Univ, Taiyuan Cent Hosp, Taiyuan 030009, Shanxi, Peoples R China
关键词
microscopy; super-resolution; fluorescence; minimal photon fluxes; deep learning; anti-bunching; RESOLUTION LIMIT; SINGLE MOLECULES; QUANTUM; RECONSTRUCTION; BLINKING; CELLS; SOFI;
D O I
10.3788/LOP230749
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Super-resolution fluorescence microscopy ( SRFM), which can bypass the optical diffraction limit, provide an extremely important research tool for investigations of the subcellular structures and the dynamic processes of biological macromolecules. Therefore, since its invention, SRFM has been paid attention to and applied by scientists in the field of biology and medicine. Benefiting from the rapid development of life science and biotechnology in recent years, SRFM has been developed unprecedentedly. In this paper, we will mainly focus on the research progresses of four new kinds of SRFM, including minimal photon fluxes (MINFLUX), super-resolution optical fluctuation imaging ( SOFI), superresolution image based on anti-bunching effect, and deep-learning based super- resolution microscopy, respectively. We will briefly describe the recent research progresses and applications of these SRFM techniques from the basic principles, experimental implementation methods and related requirements, imaging performance, and comparison with other technologies, as well as the combination with other super- resolution techniques, to provide some references for researchers in this field.
引用
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页数:24
相关论文
共 89 条
[1]  
Abbe E., 1873, Archiv fur mikroskopische Anatomie, V9, P413
[2]   A State-of-the-Art Survey on Deep Learning Theory and Architectures [J].
Alom, Md Zahangir ;
Taha, Tarek M. ;
Yakopcic, Chris ;
Westberg, Stefan ;
Sidike, Paheding ;
Nasrin, Mst Shamima ;
Hasan, Mahmudul ;
Van Essen, Brian C. ;
Awwal, Abdul A. S. ;
Asari, Vijayan K. .
ELECTRONICS, 2019, 8 (03)
[3]   Quantum-Optically Enhanced STORM (QUEST) for Multi-Emitter Localization [J].
Assmann, Marc .
SCIENTIFIC REPORTS, 2018, 8
[4]   Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes [J].
Balzarotti, Francisco ;
Eilers, Yvan ;
Gwosch, Klaus C. ;
Gynna, Arvid H. ;
Westphal, Volker ;
Stefani, Fernando D. ;
Elf, Johan ;
Hell, Stefan W. .
SCIENCE, 2017, 355 (6325) :606-612
[5]   Imaging intracellular fluorescent proteins at nanometer resolution [J].
Betzig, Eric ;
Patterson, George H. ;
Sougrat, Rachid ;
Lindwasser, O. Wolf ;
Olenych, Scott ;
Bonifacino, Juan S. ;
Davidson, Michael W. ;
Lippincott-Schwartz, Jennifer ;
Hess, Harald F. .
SCIENCE, 2006, 313 (5793) :1642-1645
[6]   Experimental realization of sub-shot-noise quantum imaging [J].
Brida, G. ;
Genovese, M. ;
Berchera, I. Ruo .
NATURE PHOTONICS, 2010, 4 (04) :227-230
[7]   Generative Adversarial Networks: A Literature Review [J].
Cheng, Jieren ;
Yang, Yue ;
Tang, Xiangyan ;
Xiong, Naixue ;
Zhang, Yuan ;
Lei, Feifei .
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2020, 14 (12) :4625-4647
[8]   Superresolution via structured illumination quantum correlation microscopy [J].
Classen, Anton ;
von Zanthier, Joachim ;
Scully, Marlan O. ;
Agarwal, Girish S. .
OPTICA, 2017, 4 (06) :580-587
[9]   Localization microscopy at doubled precision with patterned illumination [J].
Cnossen, Jelmer ;
Hinsdale, Taylor ;
Thorsen, Rasmus O. ;
Siemons, Marijn ;
Schueder, Florian ;
Jungmann, Ralf ;
Smith, Carlas S. ;
Rieger, Bernd ;
Stallinga, Sjoerd .
NATURE METHODS, 2020, 17 (01) :59-+
[10]   Quantum Statistical Imaging of Particles without Restriction of the Diffraction Limit [J].
Cui, Jin-Ming ;
Sun, Fang-Wen ;
Chen, Xiang-Dong ;
Gong, Zhao-Jun ;
Guo, Guang-Can .
PHYSICAL REVIEW LETTERS, 2013, 110 (15)