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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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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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##### __Please follow these [instructions](model_map_generation) to generate your model-based reference map with B-factor weighted structure factors using electron form factors.__
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<br>
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Requires `sparx` , `EMAN2` , (`mpi4py`)
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```
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*** Computes contrast-enhanced cryo-EM potential maps by local amplitude scaling ***
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usage: locscale.py [-h] -em EM_MAP -mm MODEL_MAP -p APIX [-ma MASK]
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usage: locscale_mpi.py [-h] -em EM_MAP -mm MODEL_MAP -p APIX [-ma MASK]
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[-w WINDOW_SIZE] -o OUTFILE [-mpi]
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optional arguments:
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... | ... | @@ -27,6 +33,3 @@ optional arguments: |
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-mpi -o scaled.mrc"
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``` |
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#### __Please follow these [instructions](model_map_generation) to generate your model map with B-factor weighted structure factors and electron form factors.__
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<br> |