Accessing the third dimension in localization-based super-resolution microscopy

被引:30
|
作者
Hajj, Bassam [1 ,2 ]
El Beheiry, Mohamed [1 ,2 ]
Izeddin, Ignacio [3 ]
Darzacq, Xavier [2 ,3 ]
Dahan, Maxime [1 ,2 ]
机构
[1] Univ Paris 06, CNRS UMR 168, Inst Curie, Lab Phys Chim Curie, F-75005 Paris, France
[2] Howard Hughes Med Inst, Transcript Imaging Consortium, Ashburn, VA 20147 USA
[3] Ecole Normale Super, CNRS UMR8197, Inst Biol ENS, F-75005 Paris, France
关键词
SINGLE-MOLECULE TRACKING; MULTIFOCAL PLANE MICROSCOPY; FLUORESCENCE MICROSCOPY; MITOCHONDRIAL NUCLEOIDS; 3-DIMENSIONAL TRACKING; DIFFRACTION-LIMIT; PARTICLE-TRACKING; RESOLUTION LIMIT; QUANTUM-DOT; NANOSCOPY;
D O I
10.1039/c4cp01380h
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Only a few years after its inception, localization-based super-resolution microscopy has become widely employed in biological studies. Yet, it is primarily used in two-dimensional imaging and accessing the organization of cellular structures at the nanoscale in three dimensions (3D) still poses important challenges. Here, we review optical and computational techniques that enable the 3D localization of individual emitters and the reconstruction of 3D super-resolution images. These techniques are grouped into three main categories: PSF engineering, multiple plane imaging and interferometric approaches. We provide an overview of their technical implementation as well as commentary on their applicability. Finally, we discuss future trends in 3D localization-based super-resolution microscopy.
引用
收藏
页码:16340 / 16348
页数:9
相关论文
共 50 条
  • [21] Localization-based super-resolution imaging meets high-content screening
    Beghin, Anne
    Kechkar, Adel
    Butler, Corey
    Levet, Florian
    Cabillic, Marine
    Rossier, Olivier
    Giannone, Gregory
    Galland, Remi
    Choquet, Daniel
    Sibarita, Jean-Baptiste
    NATURE METHODS, 2017, 14 (12) : 1184 - +
  • [22] Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images
    Mela, Christopher A.
    Liu, Yang
    BMC BIOINFORMATICS, 2021, 22 (01)
  • [23] mmSTORM: Multimodal localization based super-resolution microscopy
    Gajdos, Tamas
    Cserteg, Zsofia
    Szikora, Szilard
    Novak, Tibor
    Kovacs, Balint Barna H.
    Szabo, Gabor
    Mihaly, Jozsef
    Erdelyi, Miklos
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [24] mmSTORM: Multimodal localization based super-resolution microscopy
    Tamás Gajdos
    Zsófia Cserteg
    Szilárd Szikora
    Tibor Novák
    Bálint Barna H. Kovács
    Gábor Szabó
    József Mihály
    Miklós Erdélyi
    Scientific Reports, 9
  • [25] Probing Chromatin Compaction and Its Epigenetic States in situ With Single-Molecule Localization-Based Super-Resolution Microscopy
    Xu, Jianquan
    Liu, Yang
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
  • [26] Blinking fluorescent probes for single-molecule localization-based super-resolution imaging
    Liu, Hua
    Ye, Zhongju
    Deng, Yanan
    Yuan, Jie
    Wei, Lin
    Xiao, Lehui
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2023, 169
  • [27] Localization-based super-resolution microscopy with an sCMOS camera Part II: Experimental methodology for comparing sCMOS with EMCCD cameras
    Long, Fan
    Zeng, Shaoqun
    Huang, Zhen-Li
    OPTICS EXPRESS, 2012, 20 (16): : 17741 - 17759
  • [28] Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy
    Zhang, Ge
    Liao, Chen
    Hu, Jun-Rui
    Hu, Hai-Man
    Lei, Yu-Meng
    Harput, Sevan
    Ye, Hua-Rong
    ACS SENSORS, 2023, 8 (09) : 3294 - 3306
  • [29] BODIPY-based photoactivatable probes for single molecule localization-based super resolution microscopy
    Wijesooriya, Chamari
    Peterson, Julie
    Winter, Arthur
    Smith, Emily
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 257
  • [30] Deep learning for super-resolution localization microscopy
    Zhou, Tianyang
    Luo, Jianwen
    Liu, Xin
    OPTICS IN HEALTH CARE AND BIOMEDICAL OPTICS VIII, 2018, 10820