3D chemical imaging techniques will provide a quantitative
understanding of the distribution of chemical species in three dimensions
including the internal structure, interfaces, and surfaces of micro and nanoscacale systems.
These techniques are critical to the development of successful
commercial products in nanotechnology. NIST is pursuing new approaches
that will be broadly applicable to nanoscale technologies from
microelectronics to pharmaceuticals and subcellular biomedical applications.
Immersive visualization will expose three dimensional structures
at the nano-scale and will enable researchers to understand the
relationships of the components within nanodevices.
We have developed some initial immersive visualizations based
on open source software,
DIVERSE and openDX,
as well as additional software created in-house.
We are developing additional immersive visualization tools for 3D
representation of the reconstructed
data sets to show internal structure of the samples.
We have also implemented several geometric algorithms for use with the
Bayesian reconstruction software. These algorithms involve
both ray-to-voxel and voxel-to-ray intersection calculations.
||Z. Levine, A. Kearsley, J. Hagedorn, "Bayesian Tomography for
Projections with an Arbitrary Transmission Function with an
Application in Electron Microscopy", in progress, to be submitted
to IEEE Transactions on Image Processing.
||D. Malec, J. Hagedorn, J. Soto, "Bayesian 3D Reconstruction of
Chemical Composition from 2D Spectra", in progress.
| Visualization of the Bayesian reconstruciton of an integrated circuit
interconnect with an electromigration void. The density represented
by the green isosurface is twice that of the blue isosurface.|