光学
计算机科学
斑点图案
迭代重建
重建算法
显微镜
分辨率(逻辑)
算法
计算机视觉
散斑噪声
图像处理
人工智能
图像分辨率
傅里叶变换
图像(数学)
物理
量子力学
作者
Shijie Tu,Qiulan Liu,Xin Liu,Wenjie Liu,Zhimin Zhang,Taojin Luo,Cuifang Kuang,Xu Liu,Xiang Hao
出处
期刊:Optics Letters
[The Optical Society]
日期:2020-03-13
卷期号:45 (6): 1567-1567
被引量:33
摘要
Structured illumination microscopy (SIM) is a powerful technique for providing super-resolution imaging, but its reconstruction algorithm, i.e., linear reconstruction structured illumination microscopy (LRSIM) algorithm in the Fourier domain, limits the imaging speed due to its computational effort. Here, we present a novel reconstruction algorithm that can directly process SIM data in the spatial domain. Compared to LRSIM, this approach uses the same number of frames to achieve a comparable resolution but with a much faster processing speed. Our algorithm was verified on both simulated and experimental data using sinusoidal pattern illumination. Moreover, this algorithm is also applicable for speckle pattern illumination.
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