Отрывок: 485 dB and 1.814 dB respectively. 3. Simulation data analysis To evaluate the CS reconstruction for CIW, 20 frames of simulated super-resolution image with known true mo- lecular positions and their corresponding CR frames were generated. The simulation randomly placed molecules in a grid region. The molecular density was 6.304 m –2. Fig. 4a is a CR frame without noise. Fig. 4b is a CI frame without noise. Fig. 4c is the true super- resolution image. a)...
Название : | Super-resolution microscopy based on interpolation and wide spectrum de-noising |
Авторы/Редакторы : | Cheng, T. Chenchen, T. |
Ключевые слова : | super-resolution microscopy interpolation de-noising point spread function compressed sensing |
Дата публикации : | Авг-2023 |
Издательство : | Самарский национальный исследовательский университет |
Библиографическое описание : | 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. |
Серия/номер : | 47;4 |
Аннотация : | 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. |
URI (Унифицированный идентификатор ресурса) : | https://dx.doi.org/10.18287/2412-6179-CO-1272 http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Superresolution-microscopy-based-on-interpolation-and-wide-spectrum-denoising-107769 |
Другие идентификаторы : | Dspace\SGAU\20231228\107769 |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
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2412-6179_2023_47_4_614-619.pdf | 1.11 MB | Adobe PDF | Просмотреть/Открыть |
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