Single-photon sensitive light-in-fight imaging

Genevieve Gariepy (), Nikola Krstajić, Robert Henderson, Chunyong Li, Robert R. Thomson, Gerald S. Buller, Barmak Heshmat, Ramesh Raskar, Jonathan Leach and Daniele Faccio ()
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Genevieve Gariepy: Institute of Photonics and Quantum Sciences, Heriot-Watt University
Nikola Krstajić: Institute for Micro and Nano Systems, University of Edinburgh
Robert Henderson: Institute for Micro and Nano Systems, University of Edinburgh
Chunyong Li: Institute of Photonics and Quantum Sciences, Heriot-Watt University
Robert R. Thomson: Institute of Photonics and Quantum Sciences, Heriot-Watt University
Gerald S. Buller: Institute of Photonics and Quantum Sciences, Heriot-Watt University
Barmak Heshmat: Camera Culture, MIT Media Lab
Ramesh Raskar: Camera Culture, MIT Media Lab
Jonathan Leach: Institute of Photonics and Quantum Sciences, Heriot-Watt University
Daniele Faccio: Institute of Photonics and Quantum Sciences, Heriot-Watt University

Nature Communications, 2015, vol. 6, issue 1, 1-7

Abstract: Abstract The ability to record images with extreme temporal resolution enables a diverse range of applications, such as fluorescence lifetime imaging, time-of-flight depth imaging and characterization of ultrafast processes. Recently, ultrafast imaging schemes have emerged, which require either long acquisition times or raster scanning and have a requirement for sufficient signal that can only be achieved when light is reflected off an object or diffused by a strongly scattering medium. Here we present a demonstration of the potential of single-photon detector arrays for visualization and rapid characterization of events evolving on picosecond time scales. The single-photon sensitivity, temporal resolution and full-field imaging capability enables the observation of light-in-flight in air, as well as the measurement of laser-induced plasma formation and dynamics in its natural environment. The extreme sensitivity and short acquisition times pave the way for real-time imaging of ultrafast processes or visualization and tracking of objects hidden from view.

Date: 2015
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DOI: 10.1038/ncomms7021

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