Villanueva-Perez Pablo, Arcadu Filippo, Cloetens Peter, Stampanoni Marco
Opt Lett. 2017 Mar 15;42(6):1133-1136. doi: 10.1364/OL.42.001133.
We report on a new contrast-transfer-function (CTF) phase-retrieval method based on the alternating direction method of multipliers (ADMMs), which allows us to exploit any compressed sensing regularization scheme reflecting the sparsity of the investigated object. The proposed iterative algorithm retrieves accurate phase maps from highly noisy single-distance projection microscopy data and is characterized by a stable convergence, not bounded to the prior knowledge of the object support or to the initialization strategy. Experiments on simulated and real datasets show that ADMM-CTF yields reconstructions with a substantial lower amount of artifacts and enhanced signal-to-noise ratio compared to the standard analytical inversion.
我们报告了一种基于乘子交替方向法（ADMM）的新型对比度传递函数（CTF）相位恢复方法，该方法使我们能够利用任何反映被研究对象稀疏性的压缩感知正则化方案。所提出的迭代算法可从高噪声单距离投影显微镜数据中检索出精确的相位图，其特点是收敛稳定，不受对象支持的先验知识或初始化策略的限制。在模拟和真实数据集上的实验表明，与标准解析反演相比，ADMM-CTF产生的重建伪影数量大幅减少，信噪比得到提高。
