Research Visualization Virtual Histology™
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.
| Virtual Histology™ |
 Virtual 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. |
