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

1998


N. Touheed, P. Selwood, P.K. Jimack, M. Berzins. “Parallel Dynamic Load-Balancing for the Solution of Transient CFD Problems Using Adaptive Tetrahedral Meshes,” In Parallel Computational Fluid Dynamics - Recent Developments and Advances Using Parallel Computers, Edited by D.R. Emerson and A. Ecer and J. Periaux and N. Satufoka and P. Fox, Elsevier Science, pp. 81--88. 1998.



D.C. Van Essen, H.A. Drury, S. Joshi, M. Miller. “Functional and Structural Mapping of Human Cerebral Cortex: Solutions are in the Surfaces,” In Proceedings of the National Academy of Sciences, Vol. 95, No. 3, Proceedings of the National Academy of Sciences, pp. 788--795. February, 1998.
DOI: 10.1073/pnas.95.3.788



S. Vyazovkin, C.A. Wight. “Isothermal and non-isothermal kinetics of thermally stimulated reactions of solids,” In International Reviews in Physical Chemistry, Vol. 17, No. 3, pp. 407--433. 1998.
DOI: 10.1080/014423598230108

ABSTRACT

This review covers both the history and present state of the kinetics of thermally stimulated reactions in solids. The traditional methodology of kinetic analysis, which is based on fitting data to reaction models, dates back to the very first isothermal studies. The model fitting approach suffers from an inability to determine the reaction model uniquely,and this does not allow reliable mechanistic conclusions to be drawn even from isothermal data. In non-isothermal kinetics, the use of the traditional methodology results in highly uncertain values of Arrhenius parameters that cannot be compared meaningfully with isothermal values. An alternative model-free methodology is based on the isoconversional method. The use of this model-free approach in both isothermal and non-isothermal kinetics helps to avoid the problems that originate from the ambiguous evaluation of the reaction model. The model-free methodology allows the dependence of the activation energy on the extent of conversion to be determined. This, in turn, permits reliable reaction rate predictions to be made and mechanistic conclusions to be drawn.



J.A. Weiss, R.D. Rabbitt, A.E. Bowden. “Incorporation of Medical Image Data in Finite Element Models to Track Strain in Soft Tissues,” In Proc SPIE (Laser-Tissue Interaction IX), Vol. 3254, pp. 477--484. 1998.



D.M. Weinstein. “The Analytic 3-D Transform for the Least-Squared Fit of Three Pairs of Corresponding Points,” School of Computing Technical Report, No. UUCS-98-005, University of Utah, Salt Lake City, UT 1998.



R.T. Whitaker. “A Level-Set Approach to 3D Reconstruction From Range Data,” In International Journal of Computer Vision, Vol. 29, No. 3, pp. 203--231. 1998.


1997


I. Ahmad, M. Berzins. “An Algorithm for ODEs from Atmospheric Dispersion Problems,” In Applied Numerical Mathematics, Vol. 25, pp. 137--149. 1997.



O. Alter, Y. Yamamoto. “Reply to the Comment on 'Protective Measurement of the Wave Function of a Single Squeezed Harmonic Oscillator State',” In Physical Review A, Vol. 56, No. 1, pp. 1057--1059. July, 1997.
DOI: 10.1103/PhysRevA.56.1057



O. Alter, Y. Yamamoto. “Quantum Zeno Effect and the Impossibility of Determining the Quantum State of a Single System,” In Physical Review A, Vol. 55, No. 4, pp. R2499--R2502. April, 1997.
DOI: 10.1103/PhysRevA.55.R2499



C.L. Bajaj, V. Pascucci, D.R. Schikore. “The Contour Spectrum,” In Proceedings of the 8th Annual IEEE Conference on Visualization (VIS-97), Edited by Roni Yagel and Hans Hagen, IEEE Computer Society, pp. 167--175. November, 1997.



C. Bajaj, H.Y. Lee, R. Merkert, V. Pascucci. “NURBS based B-rep Models for Macromolecules and their Properties,” In Proceedings of the 4th Symposium on Solid Modeling and Applications, Edited by Christoph Hoffmann and Wim Bronsvort, ACM Press, New York pp. 217--228. May, 1997.
ISBN: 0-89791-946-7



C.L. Bajaj, V. Pascucci, D.R. Schikore. “Fast Isocontouring for Structured and Unstructured Meshes in Any Dimension,” In Late Breaking Hot Topics Proceedings of the 8th Annual IEEE Conference on Visualization (VIS-97), Edited by Amitabj Varshney and David S. Ebert, IEEE Computer Society, pp. 25--28. November, 1997.



D.M. Beazley. “Using SWIG to control, prototype, and debug C program with Python,” In 4th International Python Conference, 1997.



M. Berzins, S.V. Pennington, P.R. Pratt, J.M. Ware. “SPRINT2D Software for Convection Dominated PDEs,” In Modern Software Tools in Scientific Computing, Edited by E. Arge and A.M. Bruaset and H.P. Langtangen, Birkhauser Press, 1997.

ABSTRACT

SPRINT2D is a set of software tools for solving time-dependent partial differential equations in two space variables. The software uses unstructured triangular meshes and adaptive error control in both space and time. This chapter describes the software and shows how the adaptive techniques may be used to increase the reliability of the solution procedure for a challenging combustion problem. The recent construction of a problem solving environment (PSE) has partially automated the use of SPRINT2D. This PSE consists of tools such as a visual domain specification tool, which helps ease the input of complex geometries, and a visual problem specification tool. After describing these components an evaluation will be made of SPRINT2D and its associated PSE.



M. Berzins, P.J. Capon, P.K. Jimack. “On Spatial Adaptivity and Interpolation when Using the Method of Lines,” In Applied Numerical Mathematics: Transactions of IMACS, Vol. 26, No. 1--2, pp. 117--133. 1997.



G.E. Christensen, S.C. Joshi, M. Miller. “Volumetric Transformation of Brain Anatomy,” In IEEE Trans Med Imaging, Vol. 16, No. 6, pp. 864--877. December, 1997.



G.E. Christensen, S.C. Joshi, M.I. Miller. “Volumetric Transformation of Brain Anatomy,” In IEEE Transactions on Medical Imaging, Vol. 16, No. 6, pp. 864--877. December, 1997.



D.J. Creasey, D.E. Heard, M. Pilling, B.J. Whitaker, M. Berzins, R. Fairlie. “Visualisation of a Supersonic Free-Jet Expansion Using Laser-Induced Fluorescence Spectroscopy: Application to the Measurement of Rate Constants at Ultralow Temperatures,” In Applied Physics B: Lasers and Optics, Vol. 65, pp. 375--391. 1997.



J.W. Haller, A. Banerjee, G.E. Christensen, M. Gado, S. Joshi, M.I. Miller, Y. Sheline, M.W. Vannier, J. Csernansky. “Three-Dimensional Hippocampal MR Morphometry with High-Dimensional Transformation of a Neuroanatomic Atlas,” In Radiology, Vol. 202, No. 2, pp. 504--510. February, 1997.



C.D. Hansen, M. Krogh, J. Painter. “Parallel Rendering Techniques for Massively Parallel Visualization,” In International Symposium on Parallel Algorithms/Architecture Synthesis, Aizu-Wakamatsu, Japan, pp. 276--281. March, 1997.