Single Photon Avalanche Detectors (SPADs) can detect single photon arrival events and in doing so, record a click that can be used to also determine the photon arrival time on the detector with picosecond temporal resolution. This timing capability is finding many uses such as LIDAR and fluorescence lifetime imaging and provides an opportunity for revisiting fundamental imaging concepts by combining SPAD data with computational image retrieval techniques. The computational techniques can in general resort to inverse retrieval approaches or machine learning, with the choice depending on the specific nature of the data and imaging problem at hand. I will overview some of our work, starting from the first attempts to capture light-in-flight using SPAD cameras and covering the topics of non-line-of-sight imaging, imaging through diffusion, extraction of 3D images from time-of-light data only, fluorescence lifetime imaging and coincidence counting for quantum imaging applications.
Daniele Faccio is a Royal Academy Chair in Emerging Technologies and Fellow of the Royal Society of Edinburgh and Optical Society of America. He joined the University of Glasgow in 2017 as Professor in Quantum Technologies where he leads the Extreme-Light group and is Director of Research for the School of Physics and Astronomy. He is also adjunct professor at the University of Arizona, and previously was at Heriot-Watt University and University of Insubria (Italy). He has been visiting scientist at MIT (USA), Marie-Curie fellow at ICFO, Barcelona (Spain) and EU-ERC fellow 2012-2017. He worked in the optical telecommunications industry for four years before obtaining his PhD in Physics in 2007 at the University of Nice-Sophia Antipolis (France). His research, funded by the UK research council EPSRC, DSTL, The Leverhulme Trust, the EU Quantum Flagship program and the Royal Academy of Engineering focuses on the physics of light, on how we harness light to answer fundamental questions and on how we harness light to improve society.