Super-Resolution Image Reconstruction Based on Single-Molecule Localization Algorithm

被引:5
|
作者
Liu, Lixin [1 ]
Qi, Meijie [1 ]
Liu, Yujie [1 ]
Xue, Xinzhu [1 ]
Chen, Danni [2 ]
Qu, Junle [2 ]
机构
[1] Xidian Univ, Sch Phys & Optoelect Engn, Xian 710071, Peoples R China
[2] Shenzhen Univ, Coll Phys & Optoelect Engn, Key Lab Optoelect Devices & Syst, Shenzhen 518060, Peoples R China
关键词
super-resolution fluorescence imaging; single-molecule localization algorithm; image reconstruction; blind deconvolution; centroid localization; FLUORESCENT; MICROSCOPY; LIMIT;
D O I
10.3390/photonics8070273
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Fluorescence imaging is an important and efficient tool in cell biology and biomedical research. In order to observe the dynamics of biological macromolecules such as DNA, RNA and proteins in live cells, it is extremely necessary to surpass the Abbe diffraction limit in microscopic imaging. Single-molecule localization microscopy (SMLM) is a sort of super-resolution imaging technique that can obtain a large number of images of sparse fluorescent molecules by the use of photoswitchable fluorescent probes and single-molecule localization technology. The center positions of fluorescent molecules in the images are precisely located, and then the entire sample pattern is reconstructed with super resolution. In this paper, we present a single-molecule localization algorithm (SMLA) that is based on blind deconvolution and centroid localization (BDCL) method. Single-molecule localization and image reconstruction of 15,000/9990 frames of original images of tubulins are accomplished. In addition, this fluorophore localization algorithm is used to localize high particle-density images. The results show that our BDCL-SMLA method is a reasonable attempt and useful method for SMLM imaging when the imaging system is unknown.
引用
收藏
页数:9
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