If it weren’t for an important computer graphics technique seen in special effects for movies known as “ray tracing,” Spider-Man would appear as a flat, lifeless superhero, or Thanos from “The Avengers” would just be a one-dimensional super villain.
Thanks to ray tracing – a computer graphics rendering technique that allows light to interact with objects in a realistic manner – special effects in blockbuster films have an ultra-realistic look that can fool audiences into thinking they are viewing genuine objects. Ingo Wald, a pioneer in ray tracing who conducted much of his work at the University of Utah’s Scientific Computing and Imaging Institute (SCI), will receive a Scientific and Technical Academy Award Feb. 13 along with four other researchers, all of whom developed ray tracing for Intel. They include Sven Woop, Carsten Benthin, Attila T. Áfra and Manfred Ernst.
National Science Foundation and Office of Science and Technology (OSTP) veteran, Professor Manish Parashar, a distinguished professor of computer science at Rutgers University, will join SCI on January 1, 2021.
“We are thrilled to have a leader like Professor Parashar take the helm at the Institute,” said Dan Reed, senior vice president for Academic Affairs. “He brings an unparalleled depth and breadth of experience in cyberinfrastructure and computer and computational science that will advance SCI as it continues to innovate, grow, and build research collaborations across the entire University of Utah campus.”
We are pleased to announce the recipient of The Leonardo Award 2020 is Chris Johnson Ph.D. of the SCI Institute at the University of Utah for his curiosity, creativity and vision. Due to these unprecedented times, the Gala event was held virtually.
Wilson Good Wins Young Investigator's Award at Computing in Cardiology
Congratulations to Wilson Good on winning the Rosanna Degani Young Investigators’ Award competition at the international Computing in Cardiology conference, Rimini, 16th September 2020.
Tendon Injury and Collagen Mechanics
Accumulation of collagen molecular unfolding is the mechanism of cyclic fatigue damage and failure in collagenous tissues
In understanding the failure of dense collagenous soft tissues over multiple loading cycles, the predominant hypothesis for development of overuse injuries is that repeated subfailure loading causes accumulation of “micro-damage”, and when this micro-damage accumulates at a rate that is faster than can be repaired, this results in injury in a clinical sense (tissue failure and resulting pain from the injury and overload of surrounding structures). However the specific nature of this micro-damage has remained unknown. In this study, we demonstrate that the micro-damage is actually collagen molecular unfolding, which accumulates with repeated cyclic loading. Our results provide a convincing explanation for the micro-damage hypothesis: Molecular-level collagen damage is generated by tissue-level loading, and the ability to repair this damage determines whether the applied loading leads to tissue failure.
University of Utah School of Computing assistant professor Bei Wang was awarded more than $832,000 from the U.S. Department of Energy’s Early Career Research Program, one of only 75 scientists in the nation and the only faculty member from the U to earn the award this year.
Wang’s project, titled “Topology-Preserving Data Sketching for Scientific Visualization,” will conduct a study of topology-preserving data sketching techniques to improve visual exploration and understanding of large scientific data.
We are excited to announce the new release of our software, ShapeWorks 5.4. ShapeWorks is now faster and uses less memory, with a scalable graphic user interface for large cohorts and a flexible, user-friendly project file format.
Genome-wide Pattern Found in Tumors from Brain Cancer Patients Predicts Life Expectancy
Proof of principle study highlights mathematical methods that are uniquely suited for personalized medicine
For the past 70 years, the best indicator of life expectancy for a patient with glioblastoma (GBM) — the most common and the most aggressive brain cancer — has simply been age at diagnosis. Now, an international team of scientists has experimentally validated a predictor that is not only more accurate but also more clinically relevant: a pattern of co-occurring changes in DNA abundance levels, or copy numbers, at hundreds of thousands of sites across the whole tumor genome.
Conferences may be a little different this year, but that hasn't stopped SCI students from showing what they're made of. This week four publications were selected as finalists in two seperate conferences. Adam Rauff and Steven LaBelle were selected as finalists for the (virtual) student PhD paper competition at the Summer Biomechanics, Bioengineering and Biotransport Conference in June (SB3C). At this same conference Jason Manning was selected as a finalist in the undergraduate student paper competition.