Nanoform evaluation approach using Mueller matrix microscopy and machine learning concepts

We realized an imaging Mueller matrix microscope for nanostructure characterization. For investigations on nanoform characterization via images, we measured and simulated images of specially designed nanostructures. As approach towards machine learning evaluation in ellipsometry, calculated Haar-like features the observed a higher sensitivity to subwavelength off-diagonal elements compared microscopy.