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Daniel S. Hussey (Fed)

Dr. Daniel S. Hussey is a research scientist at the National Institute of Standards and Technology where he leads a team in the development of novel neutron imaging and optics techniques for materials science applications. To enable the visualization of the water content in the catalyst layers of operating hydrogen fuel cells, Dr. Hussey works to improve the achievable spatial resolution of neutron imaging. This includes the development of new detectors, such as micro-channel plates, and wholly new neutron imaging methods, notably a neutron analog to Hooke’s microscope using Wolter optic mirrors. One of the most exciting new research projects in the field is under development by Dr. Hussey and other participants in the INFER collaboration. Together they are building a far field grating neutron interferometer that will provide multi-scale images, spanning length scales from the femtometer to the decimeter. Dr. Hussey is also engaged in developing quantitative image analysis routines, for instance, data fusion algorithms that permit researchers in the fields of batteries, concrete, and geosciences to take fully advantage of the NIST-NeXT data sets.

Dr. Hussey began his career at NIST in 2004 as a National Research Council Postdoctoral Fellow. Dr. Hussey earned a B.S. in physics from the University of New Hampshire and a PhD in physics from Indiana University in Bloomington, IN where he used dense samples of polarized 3He in polarized neutron reflectometry studies of magnetic thin films. Dr. Hussey holds one U.S. and one world patent in the area of signal processing, has co-authored over 180 peer-reviewed journal articles and book chapters, has been a co-PI on three funded NIST Innovations in Measurement Science projects, is a fellow of the American Physical Society, and has received several awards including the Presidential Early Career Award for Scientist and Engineers, the Arthur S. Flemming Award, an R&D 100 award, and the Department of Commerce Silver Award.

Publications

Emission Ghost Imaging: reconstruction with data augmentation

Author(s)
Kevin J. Coakley, Heather H. Chen-Mayer, Bruce D. Ravel, Daniel Josell, Nikolai Klimov, Sarah Robinson, Daniel S. Hussey
Ghost Imaging enables 2D reconstruction of an object even though particles transmitted or emitted by the object of interest are detected with a single pixel
Created April 7, 2019, Updated December 8, 2022