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.


Rob 2012 desk smScientific Computing and Imaging (SCI) Institute faculty member Rob MacLeod has been elected as President of the Board of Directors for the Computing in Cardiology Society for the next three years.

sci amSoftware lets scientists explore the brain in 3-D and perform "virtual dissections"

By Bahar Gholipour, Spectrum on November 19, 2017
Article originally appears in Scientific American

The same techniques that generate images of smoke, clouds and fantastic beasts in movies can render neurons and brain structures in fine-grained detail.

Congratulations to Timbwaoga Ouermi, Aaron Knoll, Robert M. Kirby and Martin Berzins, whose paper: "Optimization Strategies for WSM6 on Intel Microarchitectures", received Best Paper at the Fifth International Symposium on Computing and Networking 2017 (CANDAR'17) 2017, in Aomori, Japan.
Congratulations to Bradley Peterson, Alan Humphrey, John Schmidt, and Martin Berzins, whose paper: Addressing Global Data Dependencies in Heterogeneous Asynchronous Runtime Systems on GPUs, received the Best Paper Award at the Third International IEEE Workshop on Extreme Scale Programming Models and Middleware (ESPM2 2017).
ra 11 2 17Miriah Meyer and Kerry Kelly talk with KRCL's RadioActive, hosted by Billy Palmer and Lara Jones, on Air Quality and You: Empowering Citizens Through Science.

Low-cost commodity sensors are changing how cities and citizens measure and manage air quality. Through a suite of projects at the U we are building infrastructure that will enable real-time, fine-grained estimates of air quality both inside and outside of homes across Salt Lake City. In this presentation we’ll talk about the science of air quality, the computational challenges of developing rigorous air quality estimates, and our efforts to engage with citizens across the city.

Listen to the discussion on RadioActive
vis2017 timeCongratulations to Valerio Pascucci and Kree Cole-McLaughlin on receiving the IEEE Visualization 15 Year Test of Time Award for their paper "Efficient computation of the topology of level sets."

Using topological approaches to analyze level sets from scalar field has been an important branch of methods in the SciVis community. While the theories of contour trees had been known prior to this paper, efficient and robust computation of contour trees and other topological features from a discrete data set has been a challenge. In this paper, the authors provided a detailed account of the implementation of contour tree computation. The improved efficiency and the enhanced feature namely the Betti number makes the topological approach more practical and accessible to the scientific community. Considering the citation counts, the importance of the work, and the potential impact to the application areas, the SciVis Test of Time award committee selected this paper as the 2002 SciVis Test of Time award winner.

Charles Hansen 591x394Congratulations to Charles (Chuck) Hansen, who received the 2017 IEEE Visualization Career Award. Dr. Hansen is received the award for his contributions to large scale data visualization, including advances in parallel and volume rendering, novel interaction techniques, and techniques for exploiting hardware; for his leadership in the community as an educator, program chair, and editor; and for providing vision for the development and support of the field.

Read the release from IEEE

Congratulations to Yarden Livnat, who is part of the team who received the 2017 NERSC Award for Innovative Use of HPC for their project on scaling for a realistic simulation of an infectious disease: Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks

visoar 17ViSOAR is set to drive the visualization for the 2017 Workshop on Molecular Genetics of Hematopoietic Neoplasms, September 7-9, in Chicago, IL.

The Scientific Computing and Imaging (SCI) Institute and the Center for Extreme Data Management, Analysis, and Visualization (CEDMAV), in collaboration with ARUP Laboratories and the University of Utah, Department of Neurobiology and Anatomy, have developed ViSOAR--a multi platform visualization application for accessing and processing very large imaging data.

DGX 1The SCI Institute, in partner with the School of Computing, is excited to announce the acquisition of an Nvidia DGX-1 deep learning system. This will be a shared resource that will be made available freely to all campus researchers interested in deep learning, machine learning and related areas.

Big data and machine learning are major factors shaping research and innovation now and will continue to be so in the foreseeable future. Deep learning represents the state-of-the-art in machine learning and data analysis.

Research with Fluorender highlighted on the NIH Director's Blog.
Posted on July 27, 2017 by Dr. Francis Collins

muscles limbdevelopment g kardonTwice a week, I do an hour of weight training to maintain muscle strength and tone. Millions of Americans do the same, and there's always a lot of attention paid to those upper arm muscles—the biceps and triceps. Less appreciated is another arm muscle that pumps right along during workouts: the brachialis. This muscle—located under the biceps—helps your elbow flex when you are doing all kinds of things, whether curling a 50-pound barbell or just grabbing a bag of groceries or your luggage out of the car.