Ultrastructural analysis of neuronal synapses using state-of-the-art nano-imaging techniques

被引:10
|
作者
Tao, Changlu [1 ,2 ]
Xia, Chenglong [1 ,2 ]
Chen, Xiaobing [3 ]
Zhou, Z. Hong [1 ,2 ,4 ]
Bi, Guoqiang [1 ,2 ]
机构
[1] Univ Sci & Technol China, Ctr Integrat Imaging, Hefei Natl Lab Phys Sci Microscale, Hefei 230027, Peoples R China
[2] Univ Sci & Technol China, Sch Life Sci, Hefei 230027, Peoples R China
[3] NINDS, Neurobiol Lab, NIH, Bethesda, MD 20892 USA
[4] Univ Calif Los Angeles, Dept Microbiol Immunol & Mol Genet, Los Angeles, CA 90095 USA
基金
中国国家自然科学基金;
关键词
synaptic architecture; nano-imaging; super-resolution imaging; STED microscopy; STORM; PALM; cryoET; TRANSMISSION ELECTRON-MICROSCOPY; CELL-ADHESION MOLECULES; CRYOELECTRON TOMOGRAPHY; POSTSYNAPTIC DENSITY; FLUORESCENCE MICROSCOPY; LIGHT-MICROSCOPY; 3-DIMENSIONAL STRUCTURE; BIOLOGICAL SPECIMENS; DIFFRACTION BARRIER; STIMULATED-EMISSION;
D O I
10.1007/s12264-012-1249-z
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neuronal synapses are functional nodes in neural circuits. Their organization and activity define an individual's level of intelligence, emotional state and mental health. Changes in the structure and efficacy of synapses are the biological basis of learning and memory. However, investigation of the molecular architecture of synapses has been impeded by the lack of efficient techniques with sufficient resolution. Recent developments in state-of-the-art nano-imaging techniques have opened up a new window for dissecting the molecular organization of neuronal synapses with unprecedented resolution. Here, we review recent technological advances in nano-imaging techniques as well as their applications to the study of synapses, emphasizing super-resolution light microscopy and 3-dimensional electron tomography.
引用
收藏
页码:321 / 332
页数:12
相关论文
共 50 条
  • [31] State-of-the-art in medical imaging
    Hazle, JD
    IMAGING IN RADIATION THERAPY, 1998, (24): : 1 - 11
  • [32] Deep Learning Techniques and Imaging in Otorhinolaryngology-A State-of-the-Art Review
    Tsilivigkos, Christos
    Athanasopoulos, Michail
    di Micco, Riccardo
    Giotakis, Aris
    Mastronikolis, Nicholas S.
    Mulita, Francesk
    Verras, Georgios-Ioannis
    Maroulis, Ioannis
    Giotakis, Evangelos
    JOURNAL OF CLINICAL MEDICINE, 2023, 12 (22)
  • [33] State-of-the-art imaging techniques for the evaluation of haemophilic arthropathy: present and future
    Doria, A. S.
    HAEMOPHILIA, 2010, 16 : 107 - 114
  • [34] Molecular Imaging in Preclinical Models of IBD with Nuclear Imaging Techniques: State-of-the-Art and Perspectives
    Kaaru, Eric
    Bianchi, Andrea
    Wunder, Andreas
    Rasche, Volker
    Stiller, Detlef
    INFLAMMATORY BOWEL DISEASES, 2016, 22 (10) : 2491 - 2498
  • [35] State-Of-The-Art Techniques On Medical Image Retrieval Using Hadoop
    Renukadevi, N. T.
    2017 INTERNATIONAL CONFERENCE ON ALGORITHMS, METHODOLOGY, MODELS AND APPLICATIONS IN EMERGING TECHNOLOGIES (ICAMMAET), 2017,
  • [36] State-of-the-Art of Resilience Using Bibliometric Analysis
    De Iuliis, Melissa
    Cardoni, Alessandro
    Cimellaro, Gian Paolo
    SEISMIC ISOLATION, ENERGY DISSIPATION AND ACTIVE VIBRATION CONTROL OF STRUCTURES, 17WCSI 2022, 2023, 309 : 589 - 598
  • [37] Simulation-based evacuation planning using state-of-the-art sensitivity analysis techniques
    Sfeir, Georges
    Antoniou, Constantinos
    Abbas, Nivine
    SIMULATION MODELLING PRACTICE AND THEORY, 2018, 89 : 160 - 174
  • [38] A survey on analysis and implementation of state-of-the-art haze removal techniques
    Babu, G. Harish
    Venkatram, N.
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2020, 72
  • [39] Visualization of Molecular Structures using State-of-the-Art Techniques in WebGL
    Mwalongo, Finian
    Krone, Michael
    Karch, Grzegorz
    Becher, Michael
    Reina, Guido
    Ertl, Thomas
    WEB3D 2014, 2014, : 133 - 141
  • [40] Sentiment Analysis in Hindi-A Survey on the State-of-the-art Techniques
    Kulkarni, Dhanashree S.
    Rodd, Sunil S.
    ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2022, 21 (01)