用于解决结构照明显微镜中调制对比度降低问题的图像恢复方法。
Image restoration approach to address reduced modulation contrast in structured illumination microscopy.
作者信息
Patwary Nurmohammed, Doblas Ana, Preza Chrysanthe
机构信息
Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN 38152, USA.
出版信息
Biomed Opt Express. 2018 Mar 13;9(4):1630-1647. doi: 10.1364/BOE.9.001630. eCollection 2018 Apr 1.
The performance of structured illumination microscopy (SIM) is hampered in many biological applications due to the inability to modulate the light when imaging deep into the sample. This is in part because sample-induced aberration reduces the modulation contrast of the structured pattern. In this paper, we present an image restoration approach suitable for processing raw incoherent-grid-projection SIM data with a low fringe contrast. Restoration results from simulated and experimental ApoTome SIM data show results with improved signal-to-noise ratio (SNR) and optical sectioning compared to the results obtained from existing methods, such as 2D demodulation and 3D SIM deconvolution. Our proposed method provides satisfactory results (quantified by the achieved SNR and normalized mean square error) even when the modulation contrast of the illumination pattern is as low as 7%.
在许多生物学应用中，由于在对样品进行深度成像时无法调制光，结构光照明显微镜（SIM）的性能受到了限制。部分原因是样品引起的像差降低了结构化图案的调制对比度。在本文中，我们提出了一种图像恢复方法，适用于处理具有低条纹对比度的原始非相干网格投影SIM数据。与从现有方法（如二维解调法和三维SIM去卷积法）获得的结果相比，对模拟和实验ApoTome SIM数据进行恢复的结果显示，其信噪比（SNR）和光学切片能力均得到了改善。即使照明图案的调制对比度低至7%，我们提出的方法也能提供令人满意的结果（通过所实现的SNR和归一化均方误差进行量化）。
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