Fluorescence-enhanced tomographic imaging in large phantoms using gain-modulated ICCD camera
Lasers in Surgery: Advanced Characterization, Therapeutics, and Systems XIII, 4949, 433-444, 2003
Abstract: A frequency-domain photon migration (FDPM) imager employing an image-intensified CCD camera for fast data acquisition on a large tissue-mimicking phantom (1087 ml) is described. Fluorescence-enhanced imaging is performed employing frequency-domain techniques at 100 MHz in order to obtain the boundary measurements of phase and amplitude and to recover the interior optical maps using the first principles of light propagation. The effect of refractive-index parameter in the boundary condition of the light propagation model is not significant due to the large phantom volume and its curvilinear nature. Initial experiments were performed under perfect (1:0 contrast) and imperfect (100:1 contrast) uptake cases using indocyanine green as the contrast agent. Preliminary 3D image reconstructions using the approximate extended Kalman filter (AEKF) algorithm are presented.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).