Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy
Super-resolution structured illumination microscopy (SR-SIM) relies heavily on post-processing reconstruction to obtain high-quality SR images from raw data. Although many SIM reconstruction algorithms have been developed to recover fine cellular structures with high fidelity even from the noisy dat...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2025-01-01
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| Series: | Journal of Innovative Optical Health Sciences |
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| Online Access: | https://www.worldscientific.com/doi/10.1142/S1793545824500263 |
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| author | Yujun Tang Linbo Wang Gang Wen Hui Li |
| author_facet | Yujun Tang Linbo Wang Gang Wen Hui Li |
| author_sort | Yujun Tang |
| collection | DOAJ |
| description | Super-resolution structured illumination microscopy (SR-SIM) relies heavily on post-processing reconstruction to obtain high-quality SR images from raw data. Although many SIM reconstruction algorithms have been developed to recover fine cellular structures with high fidelity even from the noisy data, whether the pixel intensities of reconstructed SR images are still proportional to the original fluorescence intensity has been less explored. The linearity between the intensity before and after reconstruction is defined as the intensity fidelity. Here, we proposed a method to evaluate the reconstructed SR image intensity fidelity at different spatial frequencies. With the proposed metric, we systematically investigated the impact of the key factors on the intensity fidelity in the standard Wiener-SIM reconstructions with simulated data, then evaluated the intensity fidelity of the SR images reconstructed by representative open-source packages. Our work provides a reference for SR-SIM image intensity fidelity improvement. |
| format | Article |
| id | doaj-art-14a9b9ed61a742d8b4b66b5d5bd0d117 |
| institution | Kabale University |
| issn | 1793-5458 1793-7205 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Innovative Optical Health Sciences |
| spelling | doaj-art-14a9b9ed61a742d8b4b66b5d5bd0d1172025-01-27T05:49:52ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052025-01-01180110.1142/S1793545824500263Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopyYujun Tang0Linbo Wang1Gang Wen2Hui Li3School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou 230041, P. R. ChinaJiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. ChinaJiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. ChinaJiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. ChinaSuper-resolution structured illumination microscopy (SR-SIM) relies heavily on post-processing reconstruction to obtain high-quality SR images from raw data. Although many SIM reconstruction algorithms have been developed to recover fine cellular structures with high fidelity even from the noisy data, whether the pixel intensities of reconstructed SR images are still proportional to the original fluorescence intensity has been less explored. The linearity between the intensity before and after reconstruction is defined as the intensity fidelity. Here, we proposed a method to evaluate the reconstructed SR image intensity fidelity at different spatial frequencies. With the proposed metric, we systematically investigated the impact of the key factors on the intensity fidelity in the standard Wiener-SIM reconstructions with simulated data, then evaluated the intensity fidelity of the SR images reconstructed by representative open-source packages. Our work provides a reference for SR-SIM image intensity fidelity improvement.https://www.worldscientific.com/doi/10.1142/S1793545824500263Structured illumination microscopysuper-resolution image reconstructionintensity fidelityspectrum optimization |
| spellingShingle | Yujun Tang Linbo Wang Gang Wen Hui Li Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy Journal of Innovative Optical Health Sciences Structured illumination microscopy super-resolution image reconstruction intensity fidelity spectrum optimization |
| title | Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy |
| title_full | Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy |
| title_fullStr | Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy |
| title_full_unstemmed | Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy |
| title_short | Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy |
| title_sort | quantitative evaluation of intensity fidelity of super resolution reconstruction for structured illumination microscopy |
| topic | Structured illumination microscopy super-resolution image reconstruction intensity fidelity spectrum optimization |
| url | https://www.worldscientific.com/doi/10.1142/S1793545824500263 |
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