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.


Charles Hansen 591x394Utah engineers co-developing space simulation software for planetariums and home computers.

Sept. 7, 2016 – If space is the final frontier, OpenSpace could become the final frontier in space simulation software.

Computer scientists from the University of Utah will be working with researchers from New York University's Tandon School of Engineering and the American Museum of Natural History (AMNH) to develop OpenSpace, an open-source 3-D software for visualizing NASA astrophysics, heliophysics, planetary science and Earth science missions for planetariums and other immersive environments. The software also will be developed for use in schools and on home computers.

sciencenodeChris Johnson speaks with ScienceNode on visualizations as a collaborative process of discovery, and a crucial step on path to knowledge.

Read the full article here.
fluorender 2 19We are excited to announce the latest release of FluoRender, version 2.19.4, which incorporates improvements, bug fixes, and new features.

Download FluoRender

In this release, we mainly improved the usability of a series of functions for 4D analysis, including the component analyzer, 4D scripts, paint brush tools, and format supports. We have also made a series of video tutorials and published them on YouTube.

beiBei Wang has joined the University of Utah's Scientific Computing and Imaging (SCI) Institute as an Assistant Professor of Computer Science. The SCI Institute focuses on solving important problems in biomedicine, science, and engineering using computation and is an international research leader in the areas of scientific computing, visualization, and image analysis.

Dr. Wang received her Ph.D. in Computer Science from Duke University in 2010. There, she also earned a certificate in Computational Biology and Bioinformatics. She was a postdoctoral fellow from 2010 to 2011, and a research scientist from 2011 to 2016, both at the SCI Institute, University of Utah.

making sense of dataMaking Sense of Data, by Miriah Meyer and Danyel Fisher now available for pre-order from Amazon.

From Amazon: You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden?

If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data.

neuroimageThe publication and cover image is the result of a close collaboration between the University of Freiburg (Lukas Fiederer, Tonio Ball and others) in Germany and the NIH-funded Center for Integrated Biomedical Computing (CIBC, Moritz Dannhauer) at the SCI institute (Johannes Vorwerk). The cover of NeuroImage' March (128) issue illustrates different tissues in a model of the human head that are known to have distinct electrical properties. In this study, we simulated the electrical effect of blood vessels on current flow originating from active brain regions as monitored by scalp electrodes (encephalography, EEG). Since the understanding of EEG measurements matters in many clinical applications (e.g., epilepsy), SCIRun software offers a set of tools to investigate their underlying electrical generators. Recently, in the new version 5.0 of SCIRun additional capabilities (BrainStimulator) have been added to simulate the current flow from external stimulation devices targeting brain regions of potential EEG generators.

pacificvis16Congratulations Bei and Valerio and SCI alumni: Paul Rosen, Guoning Chen and Harsh Bhatia who were awarded Best Paper at IEEE PacificVis 2016.

Critical Point Cancellation in 3D Vector Fields: Robustness and Discussion Primoz Skraba (Jozef Stefan Institute), Paul Rosen (University of South Florida), Bei Wang (University of Utah), Guoning Chen (University of Houston), Harsh Bhatia (Lawrence Livermore National Laboratory), Valerio Pascucci (University of Utah)
leonardoThe SCI Institute recently contributed to the Science-ArtQuiz with the Leonardo. Can you distinguish Science from Art???

Paintbrush or microscope? Einstein or Picasso? Is there any difference? Challenge your inner genius with this unique, mind bending science vs art quiz. Can you get a perfect score?

Take the quiz at
Congratulations to James King, Thomas Gilray, Robert M. Kirby and Matthew Might, whose paper: Dynamic Sparse-Matrix Allocation on GPUs, won the International SuperComputing PRACE-ISC Award 2016
daria danielleCongratulations to Danielle Pruss and Daria Anderson on receiving NSF Graduate Fellowships. Danielle is a researcher in the Vis Design Lab under Dr. Miriah Meyer, and Daria is working on issues with deep brain stimulation under Dr. Chris Butson.