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17 August 2023 Doubling the temporal resolution of SOFI with two-color sequence coupling
Haoyuan Qiu, Haixin Huang, Hanzhe Wu, Yihong Ji, Heng Li, Bin Yu, Danni Chen, Junle Qu
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Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 127572P (2023) https://doi.org/10.1117/12.2690221
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China
Abstract
Super-resolution optical fluctuation imaging (SOFI) uses the advantages of computational post-processing to solve the super-resolution problem under high labeling density. Higher-order SOFI requires sufficient fluorescence fluctuation information to reduce artifacts in reconstructed images. However, the length of image sequence is limited for a certain kind of fluorophores, such as the inherent lifetime. In this research, we proposed a method to enhance image quality using double-color acquisitions and then coupling them into sequences. The theoretical basis and the working principle of this method will be explained. Simulations and limitations analysis between typical acquisition and this method will also be given. Simulations demonstrated that this method can improve the overall image quality by about 31.58 % in the 2nd order SOFI and 56.26 % in the 4th order SOFI.
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Haoyuan Qiu, Haixin Huang, Hanzhe Wu, Yihong Ji, Heng Li, Bin Yu, Danni Chen, and Junle Qu "Doubling the temporal resolution of SOFI with two-color sequence coupling", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 127572P (17 August 2023); https://doi.org/10.1117/12.2690221
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KEYWORDS
Molecules
Super resolution
Image quality
Fluorophores
Fluorescence
Temporal resolution
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