20 March 2018 Special Section Guest Editorial: Photon Counting Technology
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This guest editorial introduces the special section on photon counting technology, published in Optical Engineering, Vol. 57, Issue 3.

As the need to transmit and receive the maximum amount of information in the fastest and most secure manner possible has grown over the last decades, scientists and technologists have been working to exploit the quantum properties, or quantum states, of the most fundamental information-bearing object, the photon. By encoding information in the form of the quantum states of photons, it is possible to achieve the highest levels of compression and security in optical communication on one hand, and sensitivity in optical sensing on the other hand. Two vital factors which have led to the growth of this field of research, and which could ultimately lead to practical use of these concepts in deployed systems, are the advancements in the generation and detection of quantum states of photons, as well as the creation of methods of encoding the information into the quantum states of photons.

A key requirement for the implementation of any quantum information system is the ability to reliably detect and count photons. To address this need, research into photon-counting techniques and technologies has grown steadily over the past two decades, and the applications have expanded well beyond quantum communication to include quantum-enhanced sensing, quantum information processing, fluorescence sensing, light detection and ranging (LIDAR), and 3D imaging. Many of the detection requirements in these emerging areas remain similar to those of quantum communications: high detection efficiency; low background levels; very low jitter; and, increasingly, a very high data rate capability.

In this special section, we present five technical articles that report on advancements in various aspects of photon-counting technology and their applications in depth imaging and florescence sensing. The first article, by Gustav Toltet al. https://doi.org/10.1117/1.OE.57.3.031306, provides a study on time-correlated single-photon counting for three-dimensional LIDAR systems. The authors present six peak-detection approaches and compare their performance in terms of range accuracy, sensitivity to sparse sampling and the number of outliers, and their ability to detect two distinct scattering surfaces within the instantaneous field of view.

Next, the problem of long-range depth profiling for camouflaged targets using single-photon detection is addressed in the article authored by Rachael Tobinet al. https://doi.org/10.1117/1.OE.57.3.031303 This excellent article focuses on the reconstruction of depth and intensity profiles from data acquired using a custom-designed time-of-flight scanning transceiver; the system is based on the time-correlated single-photon counting technique using a Peltier-cooled InGaAs/InP single-photon avalanche diode detector operating at a wavelength of 1.55  μm.

Massimo Ghioniet al. https://doi.org/10.1117/1.OE.57.3.031302 contribute substantially to improving a well-known challenge in the use of parallel time-correlated single-photon counting (TCSPC) detectors, that is the transfer of picosecond resolution data at high rates from the detector array to the processor. Specifically, they present an elegant routing algorithm that enables a smart connection between a 32×32 detector array and five shared high-performance converters able to provide an overall conversion rate up to 10  Gbit/s.

In their article, Matthew Edgaret al. https://doi.org/10.1117/1.OE.57.3.031304 introduce a method for real-time computational photon-counting LIDAR with the much-appreciated ultimate aim of developing a low-cost real-time LIDAR system. The authors describe a prototype LIDAR system that utilizes a single high-sensitivity photon-counting detector and fast-timing electronics to recover millimeter-resolution three-dimensional images in real time.

Finally, in their article on fluorescence-decay data analysis, Matthias Pattinget al. https://doi.org/10.1117/1.OE.57.3.031305 present a method for correcting the problem of detector pulse pile-up, a long-term issue limiting the performance of fluorescence-decay data analysis at very high count rates. Their work therefore offers quantitatively accurate fluorescence lifetime imaging at very high frame rates.

We hope that this special section helps to highlight some of the advancements in photon-counting technologies and some of their applications. We would also like to take this opportunity to thank the contributing authors and the staff of Optical Engineering in helping to compile this special section on photon counting technology.


Majeed M. Hayat is a professor of electrical and computer engineering, member of the Center for High Technology Materials, and co-chair of the optical science and engineering program at the University of New Mexico in Albuquerque, New Mexico, USA. He received his PhD from the University of Wisconsin-Madison. His research interests include avalanche photodiodes, high-speed optical receivers, interdependent cyberphysical systems, statistical communication theory, nonuniformity correction for infrared imagers, algorithms for spectral and radar sensing, and queuing models for networked computing.

Gerald S. Buller is a professor of physics at Heriot-Watt University, Edinburgh, United Kingdom. He has worked in single-photon physics and technology since 1990 and has written over 120 journal articles in this field. He specializes in single-photon detectors, active imaging using single photons, quantum-enhanced imaging, and quantum communications. He is currently holder of an EPSRC Established Career Fellowship in Quantum Technology. In 2002, he founded Helia Photonics Ltd., where he remains company chairman.

© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Majeed M. Hayat, Majeed M. Hayat, Gerald S. Buller, Gerald S. Buller, } "Special Section Guest Editorial: Photon Counting Technology," Optical Engineering 57(3), 031301 (20 March 2018). https://doi.org/10.1117/1.OE.57.3.031301 . Submission:

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