Estimation-free spatial-domain image reconstruction of structured illumination microscopy
Structured illumination microscopy (SIM) achieves super-resolution (SR) by modulating the high-frequency information of the sample into the passband of the optical system and subsequent image reconstruction. The traditional Wiener-filtering-based reconstruction algorithm operates in the Fourier doma...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing
2024-03-01
|
| Series: | Journal of Innovative Optical Health Sciences |
| Subjects: | |
| Online Access: | https://www.worldscientific.com/doi/10.1142/S1793545823500219 |
| _version_ | 1797253853405511680 |
|---|---|
| author | Xiaoyan Li Shijie Tu Yile Sun Yubing Han Xiang Hao Cuifang kuang Xu Liu |
| author_facet | Xiaoyan Li Shijie Tu Yile Sun Yubing Han Xiang Hao Cuifang kuang Xu Liu |
| author_sort | Xiaoyan Li |
| collection | DOAJ |
| description | Structured illumination microscopy (SIM) achieves super-resolution (SR) by modulating the high-frequency information of the sample into the passband of the optical system and subsequent image reconstruction. The traditional Wiener-filtering-based reconstruction algorithm operates in the Fourier domain, it requires prior knowledge of the sinusoidal illumination patterns which makes the time-consuming procedure of parameter estimation to raw datasets necessary, besides, the parameter estimation is sensitive to noise or aberration-induced pattern distortion which leads to reconstruction artifacts. Here, we propose a spatial-domain image reconstruction method that does not require parameter estimation but calculates patterns from raw datasets, and a reconstructed image can be obtained just by calculating the spatial covariance of differential calculated patterns and differential filtered datasets (the notch filtering operation is performed to the raw datasets for attenuating and compensating the optical transfer function (OTF)). Experiments on reconstructing raw datasets including nonbiological, biological, and simulated samples demonstrate that our method has SR capability, high reconstruction speed, and high robustness to aberration and noise. |
| first_indexed | 2024-04-24T21:40:40Z |
| format | Article |
| id | doaj.art-95b78bcfe11646c480bfe447d71887d2 |
| institution | Directory Open Access Journal |
| issn | 1793-5458 1793-7205 |
| language | English |
| last_indexed | 2024-04-24T21:40:40Z |
| publishDate | 2024-03-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Innovative Optical Health Sciences |
| spelling | doaj.art-95b78bcfe11646c480bfe447d71887d22024-03-21T07:59:55ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052024-03-01170210.1142/S1793545823500219Estimation-free spatial-domain image reconstruction of structured illumination microscopyXiaoyan Li0Shijie Tu1Yile Sun2Yubing Han3Xiang Hao4Cuifang kuang5Xu Liu6State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaState Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. ChinaStructured illumination microscopy (SIM) achieves super-resolution (SR) by modulating the high-frequency information of the sample into the passband of the optical system and subsequent image reconstruction. The traditional Wiener-filtering-based reconstruction algorithm operates in the Fourier domain, it requires prior knowledge of the sinusoidal illumination patterns which makes the time-consuming procedure of parameter estimation to raw datasets necessary, besides, the parameter estimation is sensitive to noise or aberration-induced pattern distortion which leads to reconstruction artifacts. Here, we propose a spatial-domain image reconstruction method that does not require parameter estimation but calculates patterns from raw datasets, and a reconstructed image can be obtained just by calculating the spatial covariance of differential calculated patterns and differential filtered datasets (the notch filtering operation is performed to the raw datasets for attenuating and compensating the optical transfer function (OTF)). Experiments on reconstructing raw datasets including nonbiological, biological, and simulated samples demonstrate that our method has SR capability, high reconstruction speed, and high robustness to aberration and noise.https://www.worldscientific.com/doi/10.1142/S1793545823500219Structured illumination microscopyimage reconstructionspatial domaindigital micromirror device (DMD) |
| spellingShingle | Xiaoyan Li Shijie Tu Yile Sun Yubing Han Xiang Hao Cuifang kuang Xu Liu Estimation-free spatial-domain image reconstruction of structured illumination microscopy Journal of Innovative Optical Health Sciences Structured illumination microscopy image reconstruction spatial domain digital micromirror device (DMD) |
| title | Estimation-free spatial-domain image reconstruction of structured illumination microscopy |
| title_full | Estimation-free spatial-domain image reconstruction of structured illumination microscopy |
| title_fullStr | Estimation-free spatial-domain image reconstruction of structured illumination microscopy |
| title_full_unstemmed | Estimation-free spatial-domain image reconstruction of structured illumination microscopy |
| title_short | Estimation-free spatial-domain image reconstruction of structured illumination microscopy |
| title_sort | estimation free spatial domain image reconstruction of structured illumination microscopy |
| topic | Structured illumination microscopy image reconstruction spatial domain digital micromirror device (DMD) |
| url | https://www.worldscientific.com/doi/10.1142/S1793545823500219 |
| work_keys_str_mv | AT xiaoyanli estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy AT shijietu estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy AT yilesun estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy AT yubinghan estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy AT xianghao estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy AT cuifangkuang estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy AT xuliu estimationfreespatialdomainimagereconstructionofstructuredilluminationmicroscopy |