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三维显微图像复原方法通常分为两类:邻域法和三维去卷积法。本文详细介绍了邻域法的基本原理;对邻域法公式中参数c,α的不同选择和相应的复原结果进行了评价,通过仿真实验得出了考虑不同切片数时c,α的最佳选择以及不同显微成像系统所需考虑切片数M的最佳选择。与三维去卷积法相比,邻域法具有简单、计算量小,容易实现等优点,适合于观察活的生物和进行实时连续观察。
Three-dimensional microscopic image restoration methods are usually divided into two categories: the neighborhood method and the three-dimensional deconvolution method. In this paper, the basic principle of neighborhood method is introduced in detail. The different choices of parameters c and α and the corresponding restoration results are evaluated in the neighborhood method formula. The best c and a Selection and different microscopic imaging system to consider the optimal choice of the number of slices M. Compared with the three-dimensional deconvolution method, the neighborhood method is simple, small amount of calculations, easy to implement, etc., suitable for observation of living organisms and real-time continuous observation.