Single-Molecule Tracking and Its Application in Biomolecular Binding Detection

被引:13
|
作者
Liu, Cong [1 ]
Liu, Yen-Liang [1 ]
Perillo, Evan P. [2 ]
Dunn, Andrew K. [3 ]
Yeh, Hsin-Chih [1 ]
机构
[1] Univ Texas Austin, Biomed Engn Dept, Austin, TX 78712 USA
[2] Univ Texas Austin, Austin, TX 78712 USA
[3] Univ Texas Austin, Dept Leadership 1, Austin, TX 78712 USA
基金
美国国家卫生研究院;
关键词
Single-molecule tracking; fluorescence imaging; fluorescence lifetime; FRET; TCSPC; TIRF; light-sheet microscopy; HILO; PSF engineering; maximum likelihood estimation; FLUORESCENCE CORRELATION SPECTROSCOPY; PARTICLE TRACKING; MESSENGER-RNA; 3-DIMENSIONAL SUPERRESOLUTION; WHOLE-CELL; DIFFRACTION-LIMIT; DYNAMICS; PROTEIN; MICROSCOPY; RESOLUTION;
D O I
10.1109/JSTQE.2016.2568160
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
In the past two decades, significant advances have been made in single-molecule detection which enables the direct observation of single biomolecules at work in real time and under physiological conditions. In particular, the development of single-molecule tracking (SMT) microscopy allows us to monitor the motion paths of individual biomolecules in living systems, unveiling the localization dynamics, and transportmodalities of the biomolecules that support the development of life. Beyond the capabilities of traditional camera-based tracking techniques, state-of-the-art SMT microscopies developed in recent years can record fluorescence lifetime while tracking a single molecule in the 3D space. This multiparameter detection capability can open the door to a wide range of investigations at the cellular or tissue level, including identification of molecular interaction hotspots and characterization of association/dissociation kinetics between molecules. In this review, we discuss various SMT techniques developed to date, with an emphasis on our recent development of the next generation 3D tracking system that not only achieves ultrahigh spatiotemporal resolution but also provides sufficient working depth suitable for live animal imaging. We also discuss the challenges that current SMT techniques are facing and the potential strategies to tackle those challenges.
引用
收藏
页码:64 / 76
页数:13
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