Reconstructing nanophotonic scattering geometries from their radiation pattern

Work Activities

Lensless imaging and computational imaging are techniques to reconstruct the shape of an object by measuring its diffraction pattern for a diversity of illuminations, as opposed to using imaging optics as one does in a microscope to create a real space image. While it is well understood how to do this for weakly scattering objects, reconstruction becomes very hard for strongly scattering objects, such as encountered in semiconductor metrology. While strong scattering is problematic for general object reconstruction, at the same time you can also use it as a resource: for instance we showed in a recent paper that you can engineer metasurface resonances to boost sensitivity of diffraction patterns to certain geometrical changes [Nat Commun. 16, 11388]. 

In this project you will push the boundaries of algorithm based reconstruction of nanoscale strongly scattering...