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Super-resolution microscopy based on interpolation and wide spectrum de-noising
T. Cheng 1, T. Chenchen 1

1 Guangxi University of Science and Technology,
545006, P.R. China, Liuzhou, Chengzhong District, Avenue Donghuan, 268

 PDF, 1106 kB

DOI: 10.18287/2412-6179-CO-1272

Pages: 614-619.

Full text of article: English language.

Abstract:
In the conventional single-molecule localizations and super-resolution microscopy, the pixel size of a raw image is approximately equal to the standard deviation of the point spread function. Such a raw image is referred to herein as a conventional raw image, based on which better single molecule localization effect and efficiency can be achieved. It is found that both interpolation and de-noising can effectively improve the Signal to Noise Ratio of the conventional raw image. The conventional raw image, the de-noised, the interpolated and the de-noised interpolated are compared and analyzed and compressed sensing is used for super-resolution reconstruction. The simulation results show that both the highest Signal to Noise Ratio and the best super-resolution reconstruction can be obtained by de-noising the interpolated conventional raw image. This method also renders the best super-resolution reconstruction and minimum gradient in the real experiment. De-noising the interpolated conventional raw image is an effective method to improve the super-resolution microscopy.

Keywords:
super-resolution microscopy; interpolation; de-noising; point spread function; compressed sensing.

Citation:
Cheng T, Chenchen T. Super-resolution microscopy based on interpolation and wide spectrum de-noising. Computer Optics 2023; 47(4): 614-619. DOI: 10.18287/2412-6179-CO-1272.

Acknowledgements:
The work was funded by Guangxi National Natural Science Foundation (2022GXNSFAA035593), National Natural Science Foundation of China (81660296, 41461082).

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