Inverse dynamical photon scattering (IDPS): an artificial neural network based algorithm for three-dimensional quantitative imaging in optical microscopy.
Inverse dynamical photon scattering (IDPS): an artificial neural network based algorithm for three-dimensional quantitative imaging in optical microscopy.
复制标题
逆动态光子散射（IDPS）：一种基于人工神经网络的光学显微镜三维定量成像算法。
作者：
Xiao;W. Van den Broek;C. Koch
介绍了一种基于人工神经网络的光学显微三维定量成像算法--逆动力学光子散射（IDPS）。由于反问题需要显式误差度量的数值最小化，因此可以自由选择更鲁棒的度量，引入解的正则化，并检索未知的实验设置或显微镜值，而起始猜测简单地设置为零。正则化是通过交替方向增强拉格朗日方法，实现在图形处理单元上。这些改进证明了开源实验数据，检索三维振幅和相位厚标本。
Inverse dynamical photon scattering (IDPS), an artificial neural network based algorithm for three-dimensional quantitative imaging in optical microscopy, is introduced. Because the inverse problem entails numerical minimization of an explicit error metric, it becomes possible to freely choose a more robust metric, to introduce regularization of the solution, and to retrieve unknown experimental settings or microscope values, while the starting guess is simply set to zero. The regularization is accomplished through an alternate directions augmented Lagrangian approach, implemented on a graphics processing unit. These improvements are demonstrated on open source experimental data, retrieving three-dimensional amplitude and phase for a thick specimen.
影响因子：
8.6
作者：
Van den Broek, Wouter;Koch, Christoph T.
通讯作者：
Koch, Christoph T.
影响因子：
3.7
作者：
Van den Broek, Wouter;Koch, Christoph T.
通讯作者：
Koch, Christoph T.