Super-resolution microscopy based on interpolation and wide spectrum de-noising

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 lo...

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Bibliographic Details
Published inKompʹûternaâ optika Vol. 47; no. 4; pp. 614 - 619
Main Authors Cheng, T., Chenchen, T.
Format Journal Article
LanguageEnglish
Published Samara National Research University 01.08.2023
Subjects
compressed sensing
de-noising
interpolation
point spread function
super-resolution microscopy
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ISSN0134-2452
2412-6179
DOI10.18287/2412-6179-CO-1272

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Summary: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.
ISSN:0134-2452
2412-6179
DOI:10.18287/2412-6179-CO-1272