Chinese Journal of Lasers, Volume. 48, Issue 3, 0307001(2021)
Super-Resolution Fluorescence Microscopy Image Reconstruction Algorithm Based on Structured Illumination
Fig. 1. Detectable frequency range of a fluorescence microscope with wide-field illumination[14]
Fig. 2. Principles of SR-SIM[14]. After the wide-field fluorescence microscope is switched to be illuminated by the sine intensity structure illumination with frequency pθ and the direction θ, the spectrum
Fig. 3. Reconstruct SR-SIM image[14]. (a)(b)(c) Observable frequency information content of a fluorescent dye sample under unidirectional structured light illumination is a linear combination of three circular regions, see equation (5); (d) frequency information content covered by the combination of the three directions can be used to construct a super-resolution image of the sample; (e)(f)(g) frequency information content obtained after the frequency co
Fig. 4. MAP-SIM imaging effect and algorithm flow chart[49].(a) Comparison of imaging effects between the classic structured illumination microscopy Wiener reconstruction algorithm and the maximum posterior probability structured illumination microscopy algorithm; (b) flow chart of maximum posterior probability structured lighting microscopy algorithm
Fig. 5. Hessian-SIM system hardware diagram, long-term imaging effect comparison and algorithm flow chart[12,73]. (a) Hessian-SIM system hardware diagram(AOTF represents acousto-optic tunable filter; L1, L2, L3, L4, and L5 represent lenses; PBS represents polarization beam splitter; HWP represents half-wave plate; SLM represents spatial light modulator; PR represents polarization rotator; DM represents dichroic mirr
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Zhi Liu, Zewei Luo, Zhengyin Wang, Zhuang Tu, Zhengfei Zhuang, Tongsheng Chen. Super-Resolution Fluorescence Microscopy Image Reconstruction Algorithm Based on Structured Illumination[J]. Chinese Journal of Lasers, 2021, 48(3): 0307001
Category: biomedical photonics and laser medicine
Received: Aug. 10, 2020
Accepted: Sep. 15, 2020
Published Online: Feb. 2, 2021
The Author Email: Chen Tongsheng (chentsh@scnu.edu.cn)