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The left panel shows a raw image of Xenopus embryo tissue. This tissue is well-known to be extremely scattering, which is evident by the fact that we cannot resolve any structures in the raw image. The right panel shows the result of our computational scatter-correction method, which drastically improves imaging capability. After scatter-correction, cellular boundaries, nuclei, and yolk platelets can be clearly identified with subcellular resolution.

Published at Dell Medical School Visionaries Your brain can be taught to signal a computer. If José del R. Millán has his way, brain-computer interfaces will one day make wheelchairs obsolete. Ten years after his stroke, a man paralyzed from the waist down starts “walking,” operating an exoskeleton with his mind. Researchers led by José del R. Millán, Ph.D., study the electrical activity of the man’s brain indicating when he wants to use the robot to take a right step versus a left one. 

WNCG faculty member Jon Tamir has been named among the inaugural cohort of Oracle Research Fellows. The Oracle Research Fellows program identifies potentially transformative research proposals from current and future research luminaries, and provides them with the funding, Oracle Cloud computing and collaborative opportunities they need. Tamir will work to develop fast, standardized MRI reconstruction methods for faster and cheaper diagnosis and monitoring.

This news feature is part of Dell Med's Voices, a series of profiles that highlight the people of Dell Med as they work to improve health with a unique focus on our community. How can a computer help someone regain motor function? José del R. Millán, Ph.D., a professor in Texas ECE and the Dell Medical School Department of Neurology, tackles this question as he designs brain-computer interfaces that empower people to surpass their limits. Q&A WHAT’S THE PROBLEM YOU’RE TRYING TO SOLVE, AND HOW DID YOU COME TO RECOGNIZE IT?

AUSTIN, Texas — Three researchers in the Cockrell School of Engineering at The University of Texas at Austin have been selected by the Department of Defense to lead Multidisciplinary University Research Initiative (MURI) projects, receiving grants totaling $22.7 million to help advance innovative technologies in energy, computing and nanoelectronics.

Prof. Andrea Alù has been awarded a Department of Defense Multidisciplinary University Research Initiative (MURI) award on Attojoule Nanooptoelectronics, funded by the Air Force Office of Scientific Research. Prof. Alù and his team, formed by researchers from Stanford University, Harvard University, University of Pennsylvania, and international collaborators from Belgium and the Netherlands, were selected to work on the project "Ultralow Power, Ultrafast, Integrated Nano-optoelectronics".