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

• Published in: Kompʹûternaâ optika Vol. 47; no. 4; pp. 614 - 619
• Main Authors: Cheng, T., Chenchen, T.
• Format: Journal Article
• Language: English
• Published: Samara National Research University 01.08.2023
• Subjects: compressed sensing; de-noising; interpolation; point spread function; super-resolution microscopy
• ISSN: 0134-2452; 2412-6179
• DOI: 10.18287/2412-6179-CO-1272

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.