Super-resolution microscopy based on wide spectrum denoising and compressed sensing
WSD can effectively remove random noise of a raw image from very low density to ultra-high density fluorescent molecular distribution scenarios. The size of the raw image that WSD can denoise is subject to the used measurement matrix. A large raw image must be divided into blocks so that WSD denoise...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2023-06-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO47-3/470311e.html |
| _version_ | 1797360674113847296 |
|---|---|
| author | T. Cheng H. Jin |
| author_facet | T. Cheng H. Jin |
| author_sort | T. Cheng |
| collection | DOAJ |
| description | WSD can effectively remove random noise of a raw image from very low density to ultra-high density fluorescent molecular distribution scenarios. The size of the raw image that WSD can denoise is subject to the used measurement matrix. A large raw image must be divided into blocks so that WSD denoises each block separately. Based on traditional single-molecule localization and super-resolution reconstruction scenarios, wide spectrum denoising (WSD) for blocks of different sizes was studied. The denoising ability is related to block sizes. The general trend is when the block gets larger, the denoising effect gets worse. When the block size is equal to 10, the denoising effect is the best. Using compressed sensing, only 20 raw images are needed for reconstruction. The temporal resolution is less than half a second. The spatial resolution is also greatly improved. |
| first_indexed | 2024-03-08T15:43:04Z |
| format | Article |
| id | doaj.art-ad980fea7687466c83c68ef2052d518a |
| institution | Directory Open Access Journal |
| issn | 0134-2452 2412-6179 |
| language | English |
| last_indexed | 2024-03-08T15:43:04Z |
| publishDate | 2023-06-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj.art-ad980fea7687466c83c68ef2052d518a2024-01-09T14:14:54ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-06-0147342643210.18287/2412-6179-CO-1172Super-resolution microscopy based on wide spectrum denoising and compressed sensingT. Cheng0H. Jin1Guangxi University of Science and TechnologyGuangxi University of Science and TechnologyWSD can effectively remove random noise of a raw image from very low density to ultra-high density fluorescent molecular distribution scenarios. The size of the raw image that WSD can denoise is subject to the used measurement matrix. A large raw image must be divided into blocks so that WSD denoises each block separately. Based on traditional single-molecule localization and super-resolution reconstruction scenarios, wide spectrum denoising (WSD) for blocks of different sizes was studied. The denoising ability is related to block sizes. The general trend is when the block gets larger, the denoising effect gets worse. When the block size is equal to 10, the denoising effect is the best. Using compressed sensing, only 20 raw images are needed for reconstruction. The temporal resolution is less than half a second. The spatial resolution is also greatly improved.https://computeroptics.ru/eng/KO/Annot/KO47-3/470311e.htmlfluorescence microscopysuper-resolutionnoisediffraction theorycompressed sensing |
| spellingShingle | T. Cheng H. Jin Super-resolution microscopy based on wide spectrum denoising and compressed sensing Компьютерная оптика fluorescence microscopy super-resolution noise diffraction theory compressed sensing |
| title | Super-resolution microscopy based on wide spectrum denoising and compressed sensing |
| title_full | Super-resolution microscopy based on wide spectrum denoising and compressed sensing |
| title_fullStr | Super-resolution microscopy based on wide spectrum denoising and compressed sensing |
| title_full_unstemmed | Super-resolution microscopy based on wide spectrum denoising and compressed sensing |
| title_short | Super-resolution microscopy based on wide spectrum denoising and compressed sensing |
| title_sort | super resolution microscopy based on wide spectrum denoising and compressed sensing |
| topic | fluorescence microscopy super-resolution noise diffraction theory compressed sensing |
| url | https://computeroptics.ru/eng/KO/Annot/KO47-3/470311e.html |
| work_keys_str_mv | AT tcheng superresolutionmicroscopybasedonwidespectrumdenoisingandcompressedsensing AT hjin superresolutionmicroscopybasedonwidespectrumdenoisingandcompressedsensing |