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Scientific Visualization

Scientific visualization, sometimes referred to as visual data analysis, uses the graphical representation of data as a means of gaining understanding and insight into the data. Scientific visualization research at SCI has focused on applications spanning computational fluid dynamics, medical imaging and analysis, and fire simulations. Research involves novel algorithm development to building tools and systems that assist in the comprehension of massive amounts of scientific data. In helping researchers to comprehend spatial and temporal relationships between data, interactive techniques provide better cues than noninteractive techniques; therefore, much of scientific visualization research focuses on better methods for visualization and rendering at interactive rates.

Visual Cues for Geometric Features
visual_cuesTop images: The spheres falsely imply that the corner of the cylinder lies along the green particles, while the hexahedra show that actually, the corner occurs in the blue particles, and the green particles show a slight bulge just above it. Bottom images: Hexahedra show the geometry of high curvature areas more clearly than spheres can through shading cues that suggest surfaces directly.
 
Virtual Histology™
p0-mouse-external-volume-renderingVirtual Histology™ is ideally suited for characterizing soft tissue and skeletal anatomy in developing embryos, fetuses and a variety of soft tissue specimens. The imaging reagent, designed for use with microCT, is differentially absorbed by the various tissues. As a result of the unique contrast enhancement, exquisite visualizations in 2D and 3D are possible.

Comparable to a dissection microscope, Virtual Histology™ can provide greater than 6µm isometric voxel resolution enabling detailed analysis. It is an excellent methodology for the examination of fine structures in a range of soft tissue specimens. The crisp, clean images provide a degree of anatomic detail that approximates routine histology as viewed by light microscopy. The significant advantage is clearly the non-destructive nature of microCT-based Virtual Histology™ allowing the researcher to change the angle of view from axial, sagittal, coronal and even arbitrary oblique planes based on the anatomic feature of interest offering new perspectives on developmental defects.

 
Visualizing Fusion Instability
nimrod_31_eUnderstanding the complex behavior of magnetically confined fusion plasmas is an important goal of DOE's many fusion projects. The fusion community uses many different simulations to model the effects of physical and electromagnetic phenomena that contribute to plasma stability and effective plasma containment. These phenomena include radio frequency heating, stellerator and tokamak geometries, magnetic field evolution, and eddy stability.

Here we see the breakup of the magnetic field into a series of island chains, with a predominant 2:1 mode, left along with isosurfaces of the plasma temperature, right. The topology of the magnetic field is visualized using an analysis tool that produces a Poincaré map. Because the plasma equilibrates much more rapidly parallel to the magnetic field lines than perpendicular to the magnetic field lines, visualizing the magnetic field topology is necessary to the understanding how the plasma energy is deposited on the material wall. As the field becomes stochastic, the plasma cools rapidly. This cooling is highlighted by a series of transparent iso-temperature surfaces. Though the temperature profile remains as a series on nested contours they have deformed based on the topology of the magnetic field.

 
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