VISUALIZATION FRIDAY FORUM
Summer 2003

Fridays, 12-1pm, LSRC D106
Duke University
Lunch Served

No formal schedule exists for the summer. Forum's are announced over email.

May 23
Mike Reedy, Cell Biology
CRISP
CRISP is a crystallography-based image-processing program sold by CALIDRIS.COM for PC (or Virtual PC on a Macintosh). CRISP 2.1a can perform fast Fourier transforms (FFTs) and inverse transforms (IFFTs) in a few seconds from images of size ranging from 128 x 128 on up to 4k x 4k x 8byte pixels. As a quasi-optical diffractometer, it is much faster and more convenient than the laser-bench optical diffractometers it largely replaces. Valuable for training as well as research, CRISP can be used by students for transparent and intuitive self-teaching of the fundamentals of Fourier image analysis and synthesis. As electron microscopists with somewhat limited backgrounds in crystallography and symmetry nomenclature, we find CRISP extremely useful for quick and friendly detection, measurement and averaging of periodic features and lattice arrays in any selected image region. These are usually in electron micrographs of crystals and fibers (muscle is our favorite), but can just as easily be light micrographs, or aerial photographs of field, forest, or man-made landscapes. Indeed, they can be any image or diagram containing 1D or 2D periodic arrays, however noisy or imperfect. (Related CALIDRIS programs can also handle 3D structures). The images can be negatives or positives, either flatbed-scanned and stored as TIFFS, JPEGS, etc., or captured live with a linked video camera & framegrabber.
 
April 25
Dave Weinstein, University of Utah
SCIRun: Integrating Modeling, Simulation, and Visualization through a High-Performance Software Architecture
The SCIRun problem solving environment is an Open Source software architecture for investigating scientific computing problems. At the heart of SCIRun is a component-based architecture tuned for high-performance computing across a range of platforms. Atop this infrastructure we have built a suite of modules that can be composed at run time into dataflow programs. In this seminar, I will provide an overview of the visualization capabilities of SCIRun, highlighting the applications that drive our research. I will conclude with several live demonstrations.


For more information, please contact
Rachael Brady rachael.brady@duke.edu or
Edward Shanken edward.shanken@duke.edu

Organized by
Computational Science, Engineering, and Medicine (CSEM),
Visualization Technology Group (VTG), and
Information Science + Information Studies (ISIS)