Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Bei 683x1024University 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.

As scientific simulations generate a large amount of data while the simulation is running, it has become challenging to keep track of interesting phenomena and apply appropriate actions such as storage, analysis, and visualization.

Data sketching uses ideas from statistics, geometry, and linear algebra to generate an approximation of each data instance for fast and efficient processing. At the same time, visualization plays an important role in a data processing pipeline. Topology-based methods in visualization provide powerful tools to summarize and present large and complex data in a simple and easy-to-understand way.

Wang’s project combines ideas from data sketching with topological techniques in visualization. The multidisciplinary project will be universally applicable in many scientific areas, including but not limited to computational fluid dynamics and materials science.

Wang, who is also a faculty member in the U’s Scientific Computing and Imaging Institute, is focused on the analysis and visualization of large and complex data. Her research interests include topological data analysis, data visualization, computational topology, computational geometry, machine learning, and data mining. She received a bachelor’s in computer science and mathematics from the University of Bridgeport and a doctorate in computer science from Duke University.

The Early Career Research Program, now in its eleventh year, is designed to “bolster the nation’s scientific workforce by providing support to exceptional researchers during crucial early career years,” according to the DOE. Awards are given to projects related to advanced scientific computing, basic energy sciences, biological and environmental research, fusion energy sciences, high energy physics and nuclear physics.