Institut für Experimentelle Physik, Universität Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
Phys Rev Lett. 2012 Dec 14;109(24):245502. doi: 10.1103/PhysRevLett.109.245502. Epub 2012 Dec 10.
Dynamical scattering of fast electrons can be inverted by recasting the multislice algorithm as an artificial neural network, enabling the iterative retrieval of the three-dimensional object potential. This allows a nonheuristic treatment of the modulation transfer function of the CCD, partial spatial and temporal coherence, and inelastic scattering through an absorptive potential. Furthermore, prior knowledge about the atomic potential shape and the sparseness and positivity of the object can be used. The method is demonstrated on simulated bright field images recorded at 40 kV.
利用多层面算法作为人工神经网络，快速电子的动态散射可以被反转，从而迭代地获取三维物体的势能。这使得对 CCD 的调制传递函数、部分空间和时间相干性以及通过吸收势的非弹性散射，可以进行非启发式的处理。此外，还可以利用关于原子势能形状以及物体稀疏性和正定性的先验知识。该方法在 40kV 记录的明场模拟图像上进行了验证。
