Estimation-free spatial-domain image reconstruction of structured illumination microscopy

Autor: Xiaoyan Li, Shijie Tu, Yile Sun, Yubing Han, Xiang Hao, Cuifang kuang, Xu Liu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Innovative Optical Health Sciences, Vol 17, Iss 02 (2024)
Druh dokumentu: article
ISSN: 17935458
1793-7205
1793-5458
DOI: 10.1142/S1793545823500219
Popis: 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.
Databáze: Directory of Open Access Journals
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