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.

Events on February 12, 2016

Brad Hollister Presents:

Visual Analysis of Transport Similarity in 2D CFD Ensembles

February 12, 2016 at 12:00pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Abstract:

Currently, there are no all-inclusive methods for visual analysis of ensemble vector fields (EVF) that provide identification of flow trends and general flow similarity over the full extent of transport across ensemble members. Finite-time Variance Analysis (FTVA) provides flow structure information only on particle distributions at the termination of streamline integration. In this paper, we first present a flow structure based on streamline clustering. Second, we discuss a method using streamline clustering to provide information of flow coherence at corresponding spatial regions in the EVF. We consider the regions where bifurcation in flow trends among the EVF members occur. We will also discuss how both methods can be used as a sequential framework for EVF analysis, by using the results of the scalar flow structure to find regions of member flow dissimilarity for further analysis.

Posted by: Nathan Galli

Maneesh Agrawala

Maneesh Agrawala, Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University Presents:

Redesigning, Reusing and Revitalizing Existing Charts and Graphs

February 12, 2016 at 2:00pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Bio: Maneesh Agrawala is a Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He works on visualization, computer graphics and human computer interaction. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media. The goals of this work are to discover the design principles and then instantiate them in both interactive and automated design

Abstract:

Over the last 300 years, data visualizations in the form of charts and
graphs have become the primary means for communicating quantitative
information. They are pervasive in scientific papers, textbooks,
economic reports, news articles and webpages. In some cases these
visualizations are the only publicly available representation of the
underlying data. Yet, while people can easily interpret data from
charts and graphs, machines cannot directly access it. The lack of
machine readability significantly hinders analysis, reuse and
indexing. Today, a vast trove of information is locked inside data
visualizations.

In this talk I'll present recent tools and techniques we have been
developing to algorithmically read visualizations and extract useful
information from them. I'll then show how we can use the extracted
information to redesign ineffective visualizations and transfer style
between visualizations. I'll show how this approach allows us to add
new forms of interactivity to static charts and graphs, and thereby
bring such visualizations to life.

Posted by: Deb Zemek