Hi!

I recently processed a cryo-EM map using icosahedral symmetry, achieving a decent global resolution. Then, using localized reconstruction, I improved the resolution of the asymmetric unit (ASU). However, some regions of the ASU still showed poor connectivity.

To address this, I generated several additional localized reconstructions, focusing on specific regions of the ASU (taking advantage of the 2-fold, 3-fold, and 5-fold symmetry axes) to improve their local resolution.

Now, I want to create a composite map in Chimera by combining the best-resolved regions from each localized reconstruction. However, instead of simply using the voxel-wise maximum density values (as done with vop max), I would like to select voxels based on the best local resolution — i.e., for each voxel position, use the value from the map where that voxel has the highest resolution (lowest local resolution value), as indicated by the associated local resolution maps.

Is this type of composite map creation — resolution-guided voxel selection — possible in Chimera (or ChimeraX)?

Thanks in advance!

Samuel L. Guimarães

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