National Energy Research Scientific Computing Center (NERSC)
Visualization Highlights
Cristina Siegerist
NERSC Center Division, LBNLOctober 4, 2005
VisualizationHighlights:Visualization of 3D Reconstructions of Electron Tomography Data
Ken Downing, Life Sciences Division, LBNL
The Science
• Bacteria contain a wealth of mechanisms that organize their internal and external structure. Electron tomography offers the possibility to localize the cell components at a resolution that allows a better understanding of their structure and function. The 3D reconstruction of whole cells should lead to the ability to model spatial and temporal relationships between sub-cellular structures, organelles and macromolecular complexes
The Science
• Electron Tomography consists of obtaining a three-dimensional reconstruction of an object from a series of projection images. Resolution depends on the resolution of the tilt angles and the dose.
From Images to Volume
• Reconstruction of dividing Caulobacter Crescentus cells
From Images to Volume
• Reconstruction of dividing Caulobacter Crescentus cells: isosurface after filtering
From Volumes to Surfaces
AVS/Express Model builder application:– Provide an
interactive interface to build a model of 2D features (membranes for example) in noisy data.
From Volumes to Surfaces
AVS/Express Model builder application:– Select
points along a membrane for each slice in the z direction
From Volumes to Surfaces
AVS/Express Model builder application:– Add the
sets
From Volumes to Surfaces
AVS/Express Model builder application:– Build
splines for each set and make a polyline field.
From Volumes to Surfaces
AVS/Express Model builder application:– Triangulate
the surface
From Volumes to Surfaces
AVS/Express Model builder application:– Triangulate
the surface
From Volumes to Surfaces
From Volumes to Surfaces
• Start with the points selected on a membrane for each slice along the Z axis.
From Volumes to Surfaces
• Constructing the splines.
From Volumes to Surfaces
• Triangulation
From Volumes to Surfaces
• Triangulation
From Volumes to Surfaces
From Volumes to Surfaces
Journal of Bacteriology October 2005Cover
From Volumes to Surfaces
Problems:easy to solve: smoothing the surface.not so easy: stitching and bifurcations.
Another Approach:Point Clouds to surfaces
• Reconstruction of surfaces with boundaries from point clouds without the restriction of dense sampling: Normfet, AMLS and Co-Cone software provided by Dr.Tamal Dey, Ohio State University.
• References:– T. K. Dey and J. Sun.
Normal and Feature Estimations from Noisy Point Clouds. Technical Report OSU-CISRC-7/50-TR50, July, 2005.
– T. K. Dey and J. Sun. Adaptive MLS Surfaces for Reconstruction with Guarantees. Proc. Eurographics Symposium on Geometry Processing (2005), 43--52.
– N. Amenta, S. Choi, T. K. Dey and N. Leekha. A simple algorithm for homeomorphic surface reconstruction. Intl. J. Comput. Geom. Appl., Vol. 12 (2002), 125--141.
– http://www.cse.ohio-state.edu/~tamaldey/cocone.html
Point Clouds to surfaces
• Start with the points selected on a membrane for each slice along the Z axis.
Point Clouds to surfaces
• Estimate the normals
Point Clouds to surfaces
• Smooth the cloud
Point Clouds to surfaces
• Smooth the cloud
Point Clouds to surfaces
• Reconstruct the surface with boundaries
Point Clouds to surfaces
Point Clouds to surfaces
• Smoothing the point cloud using AMLS, Co-cone rescontruction (T.Dey Ohio State University)
Use of the Model
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