Laura Waller, professor of electrical engineering and computer sciences at University of California Berkeley, has been awarded the Max Planck-Humboldt Medal for her outstanding achievements in computational microscopy.
Prof. Waller uses algorithms – some of which are based on machine learning – to improve microscopy, particularly of biological samples, as well as the imaging of astronomical objects. This pioneer of computational microscopy is combining computer science and simple instruments to achieve such things as making more details visible and creating three-dimensional images or videos. Among other things, Laura Waller has further developed the phase contrast microscope, which can also image transparent objects. She has formulated algorithms that determine quantitative information about the phase of light waves – in simple terms, this is the displacement of light waves relative to each other– from a few images with illumination from different angles. The resulting images not only better visualise the shape of cells, but also allow better cell tracking. In another invention, the DiffuserCam, Waller places an uneven plastic plate on a light sensor, which scatters the incoming light. Very detailed 3D images can then be reconstructed from a single sensor reading, with applications in microscopy and astronomical imaging. The technology also makes it possible to create high-speed videos with low-speed camera equipment.