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ISSN: 1023-5086

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ISSN: 1023-5086

Scientific and technical

Opticheskii Zhurnal

A full-text English translation of the journal is published by Optica Publishing Group under the title “Journal of Optical Technology”

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DOI: 10.17586/1023-5086-2023-90-01-49-59

УДК: 535.4

Super-resolution microscopy based on denoised conventional raw images with wide spectrum denoising

Cheng, T.

Full text on elibrary.ru

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Cheng T. Super-resolution microscopy based on denoised conventional raw images with wide spectrum denoising (Микроскопия высокого разрешения на основе необработанных изображений с шумоподавлением в широкой полосе частот) [на англ. яз.] // Оптический журнал. 2023. Т. 90. № 1. С. 49–59. http://doi.org/10.17586/1023-5086-2023-90-01-49-59

 

Cheng T. Super-resolution microscopy based on denoised conventional raw images with wide spectrum denoising (Микроскопия высокого разрешения на основе необработанных изображений с шумоподавлением в широкой полосе частот) [in English] // Opticheskii Zhurnal. 2023. V. 90. № 1. P. 49–59. http://doi.org/10.17586/1023-5086-2023-90-01-49-59

For citation (Journal of Optical Technology):

Tao Cheng, "Super-resolution microscopy based on denoised conventional raw images with wide spectrum denoising," Journal of Optical Technology. 90(1), 26-32 (2023). https://doi.org/10.1364/JOT.90.000026

Abstract:

Subject of study is a scheme of screening better super-resolution reconstruction based on denoising the conventional raw image with wide spectrum denoising. Purpose of the work. Improving the reconstruction effect of ultra-high-resolution images, for this, reconstruction with noise reduction and compression of ordinary raw images and high-resolution images has been investigated. Method. The binned high resolution raw image is the conventional raw image. Conventional raw images and high resolution raw images were denoised with wide spectrum denoising respectively. The conventional raw images and high resolution raw images before and after denoising are reconstructed by compressed sensing. Main Results. The denoising ability of wide spectrum denoising based on high-resolution raw images is very stable and does not change with molecular density. The signal to noise ratios improves by approximately 8 dB. The denoising ability of wide spectrum denoising based on conventional raw images is not good. The signal to noise ratios of conventional raw images is 6 dB higher than that of high resolution raw images. The signal to noise ratios of denoised high resolution and conventional raw images are almost the same. Compressed sensing reconstruction of the denoised conventional raw images is inferior to that of denoised high-resolution raw images, however, is better than that of high-resolution and conventional raw images. Practical significance. In the conventional single-molecule localizations and super-resolution microscopy, the pixel size of a raw image is about equal to the standard deviation of the point spread function. Wide spectrum denoising can improve the conventional raw image denoising and reconstruction. However, better super-resolution microscopy can be achieved based on wide spectrum denoising and high-resolution raw images. Super-resolution microscopy of high-resolution raw images will become a new research point.

 

Acknowledgment: the study was funded by the Natural Science Foundation of Guangxi Province (2022GXNSFAA035593) and National Natural Science Foundation of China (81660296, 41461082).

Keywords:

super-resolution microscopy, pixel size, standard deviation, point spread function, compressed sensing

OCIS codes: 170.2520, 100.6640, 050.1960

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