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Hi Samuel,
In general it is better to use ChimeraX as it is being developed and may get new features, whereas Chimera is no longer being developed.

However, neither Chimera nor ChimeraX has the specific capability that you are asking about.  However, please see this recent discussion on how to create composite maps when the parts are of different resolutions or quality -- some users suggested Phenix or TEMPyReFF:

<https://mail.cgl.ucsf.edu/mailman/archives/list/chimerax-users@cgl.ucsf.edu/thread/NCSROB63IN3NXXDYTDK2TSV7LSI7KSD2/>

I hope this helps,
Elaine
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Elaine C. Meng, Ph.D.
UCSF Chimera(X) team
Resource for Biocomputing, Visualization, and Informatics
Department of Pharmaceutical Chemistry
University of California, San Francisco


> On Jun 12, 2025, at 9:30 AM, Samuel Leite Guimaraes via Chimera-users <chimera-users@cgl.ucsf.edu> wrote:
>
> 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