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.

SCI Publications


D. Weinstein. “Scanline Surfacing: Building Separating Surfaces from Planar Contours,” In Proceeding of IEEE Visualization 2000, pp. 283--289. 2000.

D.M. Weinstein, L. Zhukov, C.R. Johnson. “An Inverse EEG Problem Solving Environment and its Applications to EEG Source Localization,” In NeuroImage (suppl.), pp. 921. 2000.

M. Weiler, R. Westermann, C.D. Hansen, K. Zimmerman, T. Ertl. “Level-Of-Detail Volume Rendering via 3D Textures,” In Proceeding of IEEE Volume Visualization 2000, SLC, Utah, pp. 7--13. October, 2000.

D.M. Weinstein, L. Zhukov, C.R. Johnson, S.G. Parker, R. Van Uitert, R.S. MacLeod, C.D. Hansen. “Interactive Source Imaging with BioPSE,” In Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago, IL., Note: Refereed abstract., July, 2000.

D.M. Weinstein, P. Krysl, C.R. Johnson. “The BioPSE Inverse EEG Modeling Pipeline,” In ISGG 7th International Conference on Numerical Grid Generation in Computation Field Simulations, The International Society of Grid Generation, Mississippi State University pp. 1091--1100. 2000.

R. Westermann, C.R. Johnson, T. Ertl. “A Level-Set Method for Flow Visualization,” In Proceeding of IEEE Visualization 2000, IEEE Computer Society, Salt Lake City pp. 147--154. 2000.

L. Zhukov, D. Weinstein, C.R. Johnson. “Statistical Analysis For FEM EEG Source Localization in Realistic Head Models,” School of Computing Technical Report, No. UUCS-2000-003, University of Utah, February, 2000.

L. Zhukov, D.M. Weinstein, C.R. Johnson. “Reciprocity Basis for EEG Source Imaging,” In NeuroImage (suppl.), pp. 598. 2000.

L. Zhukov, D. Weinstein, C.R. Johnson. “Independent Component Analysis for EEG Source Localization in Realistic Head Models,” In IEEE Engineering in Medicine and Biology, Vol. 19, No. 3, pp. 87--96. 2000.


O. Alter, Y. Yamamoto. “Fundamental Quantum Limit to External Force Detection via Monitoring a Single Harmonic Oscillator or Free Mass,” In Physics Letters A, Vol. 236, No. 4-6, pp. 226--231. 1999.
DOI: 10.1016/S0375-9601(99)00743-4

R. Armstrong, D. Gannon, A. Geist, K. Keahey, S. Kohn, L. McInnes, S.G. Parker, B. Smolinksi. “Toward a Common Component Architecture for High-Performance Scientific Computing,” In Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computation (HPDC), August, 1999.

C.L. Bajaj, C. Baldazzi, S. Cutchin, A. Paoluzzi, V. Pascucci, M. Vicentino. “A Programming Approach for Complex Animations,” In Computer Aided Design, Vol. 31, No. 11, pp. 695--710. 1999.

C.L. Bajaj, V. Pascucci, G. Zhuang. “Single Resolution Compression of Arbitrary Triangular Meshes with Properties,” In Computational Geometry: Theory and Applications, Vol. 14, No. 1--3, pp. 167--186. 1999.
ISSN: 0925-7721
DOI: 10.1016/S0925-7721(99)00026-7


Triangular meshes are widely used as primary representation of surface models for networked gaming and for complex interactive design in manufacturing. Accurate triangulation of a surface with sharp features (highly varying curvatures, holes) may require an extremely large number of triangles. Fast transmission of such large triangle meshes is critical to many applications that interactively manipulate geometric models in remote networked environments. The need for a succinct representation is therefore not only to reduce static storage requirements, but also to consume less network bandwidth and thus reduce the transmission time.

In this paper we address the problem of defining a space efficient encoding scheme for both lossless and error-bounded lossy compression of triangular meshes that is robust enough to handle directly arbitrary sets of triangles including non-orientable meshes, non-manifold meshes and even non-mesh cases. The compression is achieved by capturing the redundant information in both the topology (connectivity) and geometry with possibly property attributes. Example models and results are also reported.

C.L. Bajaj, V. Pascucci, D.R. Schikore. “Data Visualization Techniques,” Trends in Software, Vol. 6, Ch. 3: Accelerated IsoContouring of Scalar Fields, John Wiley & Sons, pp. 31--47. 1999.

C.L. Bajaj, V. Pascucci, G. Zhuang. “Progressive Compression and Transmission of Arbitrary Triangular Meshes,” In Proceedings of the 10th Annual IEEE Conference on Visualization (VIS-99), San Francisco, CA, pp. 307--316. October 24-29, 1999.

C.L. Bajaj, V. Pascucci, D. Thompson, X.Y. Zhang. “Parallel Accelerated Isocontouring for Out-Of-Core Visualization,” In Proceedings of First Parallel Visualization and Graphics Symposium 1999, San Francisco, CA, IEEE Computer Society, October, 1999.

C.L. Bajaj, V. Pascucci, G. Zhuang. “Single Resolution Compression of Arbitrary Triangular Meshes with Properties,” In Proceedings of DCC: Data Compression Conference 1999, IEEE Computer Society, Snowbird, Utah March, 1999.

C.L. Bajaj, S. Cutchin, V. Pascucci, A. Paoluzzi, C. Morgia. “Web Based Collaborative CAAD,” In Proceedings of the 5th Symposium on Solid Modeling and Applications, 1999.

C. Bajaj, V. Pascucci, E. Petajan, G. Zhuang. “Polygonal Model Coding Evaluation for Low bit-rate Communication,” In Proceedings of the International Workshop on Synthetic - Natural Hybrid Coding and Three Dimensional Imaging, September, 1999.

M. Berzins, L.J.K. Durbeck. “Unstructured Mesh Methods Applied to Hyperbolic PDEs with Source Terms: Error Estimates and Mesh Quality,” In Godunov Methods: Theory and Applications Conference and Short Course, Oxford. numeritek Ltd.URL, October, 1999.