Trying to circumvent the need to choose between getting a wide-angle shot and zooming in for details, a team of researchers at Princeton led by electric engineer Jason Fleischer have developed a new method to get the best of both worlds, by passing the light through a "nonlinear crystal" that would normally distorts the picture. A computer algorithm then pieces together the data and, as they claim, produces a wide-vew image that also manages to capture the finer points otherwise missing when using conventional techniques. The goal is to build "super-resolution" microscopes for better medical diagnostics, but the group also sees uses in the fields of data encryption and lithography / microchip production. Is it too much to ask that our next Can
