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#### __LocScale__ performs local amplitude scaling based on a atomic reference structure.
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LocScale uses reference amplitudes from a refined atomic model to locally scale (sharpen) amplitudes of the Fourier transform of a cryo-EM potential map, keeping the phases constant.
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LocScale uses rotationally averaged reference amplitudes from a refined atomic model to locally scale (sharpen) amplitudes of the Fourier transform of a cryo-EM potential map, keeping the phases constant.
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For sharpening LocScale requires the unfiltered, unsharpened EM reconstruction (or half maps) along with a reference map computed from the atomic model. Optionally, a mask may be applied to speed up the computation.
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... | ... | @@ -33,6 +33,8 @@ optional arguments: |
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```
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__Invoking ```locscale_mpi.py```__: The script needs to be invoked within the EMAN2/Sparx Python framework, i.e. if EMAN2 python is the default framework run ```python locscale_mpi.py [arguments]```.
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__Window size__: We find that a window size of approximately (7 * average_map_resolution_in_Å)/pixel_size typically works well.
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__Computing time__: We strongly recommend to run the parallelized version of LocScale using MPI. Computing LocScale maps on a a single node can be (very) slow. In comparison, computation of a LocScale map for EMD-5778 takes about 4 min on 50 CPUs using MPI. |