Nanosilver-Enhanced Far-Field Fluorescence Fluctuations for Super-Resolution Microscopy

被引:0
作者
Qin, Guangyong [1 ,2 ]
Guan, Xin [1 ,2 ]
Mao, Jian [1 ,2 ]
Feng, Zhenzhen [2 ,3 ]
Yang, Wenxuan [1 ,2 ]
Wang, Shenming [1 ,2 ]
Zhen, Zheng [1 ,2 ]
Miao, Xintong [1 ,2 ]
Cheng, Yifeng [1 ,2 ]
Wang, Zhirui [1 ,2 ]
Wang, Xiaojuan [1 ,2 ]
Huang, Fang [1 ,2 ]
He, Hua [1 ,2 ]
机构
[1] China Univ Petr East China, State Key Lab Heavy Oil Proc, Qingdao 266580, Peoples R China
[2] China Univ Petr East China, Coll Chem & Chem Engn, Qingdao 266580, Peoples R China
[3] Tech Ctr Qingdao Customs Dist, Qingdao 266500, Peoples R China
基金
中国国家自然科学基金;
关键词
Super-resolution; Enhancement; Fluorescencefluctuations; Nanosilver; Far-field; PROTEIN;
D O I
10.1021/acs.nanolett.4c05155
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Fluctuation-based super-resolution microscopy enhances image resolution using signal fluctuations, yet the inherent fluctuations of fluorophores limit its spatiotemporal resolution. In this work, we reveal a far-field enhancement (FFE) effect via a nanosilver film that significantly boosts fluorescence fluctuations of fluorophores positioned up to 10 mu m away. The FFE effect arises from the interference of scattered light from the nanosilver film and photothermal-induced refractive index changes in the imaging medium, which create periodic auxiliary illumination on the sample. This phenomenon enabled the development of far-field enhanced super-resolution microscopy (FFE-SRM), a technique compatible with commonly used fluorophores. FFE-SRM improves temporal resolution up to 10-fold and enhances spatial resolution by about 2-fold over various SRM methods, including stochastic optical fluctuation imaging, super-resolution radial fluctuation, mean-shift super-resolution, and direct stochastic optical reconstruction microscopy. We demonstrated the potential of FFE-SRM by revealing mitochondrial dynamics in live-cell imaging, advancing super-resolution imaging, and cellular process exploration.
引用
收藏
页码:15186 / 15194
页数:9
相关论文
共 42 条
  • [1] Computational classification of mitochondrial shapes reflects stress and redox state
    Ahmad, T.
    Aggarwal, K.
    Pattnaik, B.
    Mukherjee, S.
    Sethi, T.
    Tiwari, B. K.
    Kumar, M.
    Micheal, A.
    Mabalirajan, U.
    Ghosh, B.
    Roy, S. Sinha
    Agrawal, A.
    [J]. CELL DEATH & DISEASE, 2013, 4 : e461 - e461
  • [2] Fluorescence fluctuation-based super-resolution microscopy: Basic concepts for an easy start
    Alva, Alma
    Brito-Alarcon, Eduardo
    Linares, Alejandro
    Torres-Garcia, Esley
    Hernandez, Haydee O.
    Pinto-Camara, Raul
    Martinez, Damian
    Hernandez-Herrera, Paul
    D'Antuono, Rocco
    Wood, Christopher
    Guerrero, Adan
    [J]. JOURNAL OF MICROSCOPY, 2022, 288 (03) : 218 - 241
  • [3] Integrating multiple aspects of mitochondrial dynamics in neurons: Age-related differences and dynamic changes in a chronic rotenone model
    Arnold, Beth
    Cassady, Steven J.
    VanLaar, Victor S.
    Berman, Sarah B.
    [J]. NEUROBIOLOGY OF DISEASE, 2011, 41 (01) : 189 - 200
  • [4] Imaging intracellular fluorescent proteins at nanometer resolution
    Betzig, Eric
    Patterson, George H.
    Sougrat, Rachid
    Lindwasser, O. Wolf
    Olenych, Scott
    Bonifacino, Juan S.
    Davidson, Michael W.
    Lippincott-Schwartz, Jennifer
    Hess, Harald F.
    [J]. SCIENCE, 2006, 313 (5793) : 1642 - 1645
  • [5] High Spatiotemporal Resolution Imaging with Localized Plasmonic Structured Illumination Microscopy
    Bezryadina, Anna
    Zhao, Junxiang
    Xia, Yang
    Zhang, Xiang
    Liu, Zhaowei
    [J]. ACS NANO, 2018, 12 (08) : 8248 - 8254
  • [6] Disturbed mitochondrial dynamics and neurodegenerative disorders
    Burte, Florence
    Carelli, Valerio
    Chinnery, Patrick F.
    Yu-Wai-Man, Patrick
    [J]. NATURE REVIEWS NEUROLOGY, 2015, 11 (01) : 11 - 24
  • [7] Mitochondrial Dynamics and Its Involvement in Disease
    Chan, David C.
    [J]. ANNUAL REVIEW OF PATHOLOGY: MECHANISMS OF DISEASE, VOL 15, 2020, 2020, 15 : 235 - 259
  • [8] Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis
    Chen, Xiaonan
    Shu, Weikang
    Zhao, Liang
    Wan, Jingjing
    [J]. VIEW, 2023, 4 (01)
  • [9] Exploring the Effect of Rotenone-A Known Inducer of Parkinson's Disease-On Mitochondrial Dynamics in Dictyostelium discoideum
    Chernivec, Ethan
    Cooper, Jacie
    Naylor, Kari
    [J]. CELLS, 2018, 7 (11)
  • [10] Super-Resolution Optical Fluctuation Bio-Imaging with Dual-Color Carbon Nanodots
    Chizhik, Anna M.
    Stein, Simon
    Dekaliuk, Mariia O.
    Battle, Christopher
    Li, Weixing
    Huss, Anja
    Platen, Mitja
    Schaap, Iwan A. T.
    Gregor, Ingo
    Demchenko, Alexander P.
    Schmidt, Christoph F.
    Enderlein, Joerg
    Chizhik, Alexey I.
    [J]. NANO LETTERS, 2016, 16 (01) : 237 - 242