Image recombination transform algorithm for superresolution structured illumination microscopy | |
Zhou, Xing1,2; Lei, Ming1; Dan, Dan1; Yao, Baoli1; Yang, Yanlong1; Qian, Jia1; Chen, Guangde2; Bianco, Piero R.3 | |
刊名 | journal of biomedical optics |
2016-09-01 | |
卷号 | 21期号:9 |
关键词 | Diffraction Endothelial cells Fluorescence Laser beams Light emitting diodes Modulation Optical systems Optical transfer function Polarization |
ISSN号 | 10833668 |
通讯作者 | lei, ming (leiming@opt.ac.cn) |
产权排序 | 1 |
英文摘要 | structured illumination microscopy (sim) is an attractive choice for fast superresolution imaging. the generation of structured illumination patterns made by interference of laser beams is broadly employed to obtain high modulation depth of patterns, while the polarizations of the laser beams must be elaborately controlled to guarantee the high contrast of interference intensity, which brings a more complex configuration for the polarization control. the emerging pattern projection strategy is much more compact, but the modulation depth of patterns is deteriorated by the optical transfer function of the optical system, especially in high spatial frequency near the diffraction limit. therefore, the traditional superresolution reconstruction algorithm for interference-based sim will suffer from many artifacts in the case of projection-based sim that possesses a low modulation depth. here, we propose an alternative reconstruction algorithm based on image recombination transform, which provides an alternative solution to address this problem even in a weak modulation depth. we demonstrated the effectiveness of this algorithm in the multicolor superresolution imaging of bovine pulmonary arterial endothelial cells in our developed projection-based sim system, which applies a computer controlled digital micromirror device for fast fringe generation and multicolor light-emitting diodes for illumination. the merit of the system incorporated with the proposed algorithm allows for a low excitation intensity fluorescence imaging even less than 1w/cm2, which is beneficial for the long-term, in vivo superresolved imaging of live cells and tissues. © 2016 the authors. |
收录类别 | SCI ; EI |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28316] |
专题 | 西安光学精密机械研究所_瞬态光学技术国家重点实验室 |
作者单位 | 1.Chinese Academy of Sciences, Xi'An Institute of Optics and Precision Mechanics, State Key Laboratory of Transient Optics and Photonics, No. 17 Xinxi Road, Xi'an, Shaanxi; 710119, China 2.Xi'An Jiaotong University, School of Science, No. 28 Xianning West Road, Xi'an, Shaanxi; 710049, China 3.University at Buffalo, Department of Microbiology and Immunology, No. 12 Capen Hall, Buffalo; NY; 14214, United States |
推荐引用方式 GB/T 7714 | Zhou, Xing,Lei, Ming,Dan, Dan,et al. Image recombination transform algorithm for superresolution structured illumination microscopy[J]. journal of biomedical optics,2016,21(9). |
APA | Zhou, Xing.,Lei, Ming.,Dan, Dan.,Yao, Baoli.,Yang, Yanlong.,...&Bianco, Piero R..(2016).Image recombination transform algorithm for superresolution structured illumination microscopy.journal of biomedical optics,21(9). |
MLA | Zhou, Xing,et al."Image recombination transform algorithm for superresolution structured illumination microscopy".journal of biomedical optics 21.9(2016). |
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