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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 March 27, 2015

Yong Wan

Yong Wan, SCI Institute Presents:

Case Studies of FluoRender in Biomedical Research

March 27, 2015 at 12:00pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Abstract:

FluoRender is a tool developed at the SCI Institute for visualizing and analyzing volume data acquired from fluorescence microscopy. Since its public release in 2009, it has aided many biomedical researchers, especially neurobiologists. In this talk, we examine several recent-year publications in biology journals. The research in these publications all used FluoRender. The publications are grouped into three categories: general data visualization, time-dependent data visualization, and insect brain anatomy. For each case study, I will present the biological questions that the researchers endeavored to answer, their approaches, and results. I will highlight each case with a plenty of illustrations, figures, and videos from the original work, adding my own interpretations and sometimes demo videos of our own. These case studies not only show us how our tools have been used but also provide insights for future work.

Posted by: Nathan Galli

Grace Wahba

Grace Wahba, University of Wisconsin Presents:

Analysis of Variance in Reproducing Kernel Hilbert Spaces, Distance Correlation, and Why Mortality Runs in Families

March 27, 2015 at 2:00pm for 1hr
Evans Conference Room, WEB 3780Warnock Engineering Building, 3rd floor.

Abstract:

Reproducing Kernel Hilbert Spaces (RKHS)  appeared in a theoretical paper (Aronszajn 1950), but their use in applied nonparametric regression, statistical model building, machine learning and classification had to wait for modern computational facilities. We review RKHS and then Analysis of Variance (ANOVA)  decompositions of functions of several variables in tensor products of RKHS.

We review Distance Correlation, which is a completely nonparametric approach for examining correlation between essentially arbitrary clusters of random variables, based on samples of pairwise distances.  We  marry these tools to examine how lifestyle and other variables in the Beaver Dam Eye Study correlate with mortality as it runs in families.

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