Walkthrough on placement of averages on table positions
Revision as of 17:19, 8 March 2017 by Daniel Castaño (talk | contribs)
In this walkthrough we show:
- how to create a triangulation that represents a density map,
- how to repeat it at the positions and orientations expressed by a Dynamo table (placement operation)
- how to visualize the same scene in Chimera:
- through a single model for each copy of the density map
- through a single mesh for the full scene
Creation of a density map
We will just use the ribosome32.em template inside your Dynamo installation.
% % We create a tomogram with multiple copies of a ribosome template % r = dread('ribosome32.em'); % just a normalization operation to rbright = dynamo_normalize_roi(r); % inverts and normalizesit % protein is thus dark on bright ground %% creates a mask % prepare a black (zeros) volume of the size of the template mask = zeros(size(rbright)); % we select a threshold threshold = - 0.1; % and ellimiate densities below it includedIndices = find(rbright>threshold); mask(includedIndices) = rbright(includedIndices); rbright = rbright.*mask; % we show the density map as a series of orthoslices dview(rbright);
Now, our task is to create a triangulation (a mesh) that represents an isosurface to be rendered later. You could just use Chimera for this, by opening the map, choosing your threshold level visually and exporting and .stl file. Alternatively, you can do it directly form the Dynamo command line with the dynamo_isosurface command.
Polishing the triangulation
Here we show some functions in the mbgeom.triangulation package that can be used to polish the mesh.