Hi Vitor Hugo Balasco,
First, the misalignment correction with relion_wrapper is similar to a regular RELION refinement. You can perform any post-processing or continue with anisotropy correction using spisonet.py reconstruct.
Second, if you are using spisonet.py reconstruct, the results are corrected half-maps. You can perform post-processing on these maps using either RELION or cryoSPARC, and you may also manually test different B-factors. Based on my knowledge, sharpening results from RELION and cryoSPARC are similar. Automatic modeling tools like ModelAngelo should work well with spIsoNet-generated maps. Other tools, such as deep enhancers, are also applicable.
The local resolution estimation tools should provide accurate results, but be aware that the FSC for spIsoNet-generated maps is not gold-standard unless you use the --independent argument with spisonet.py reconstruct. Finally, if you plan to deposit spIsoNet-generated half-maps, you may need to include the pre-correction maps as well, even though spIsoNet is "conservative" due to its self-supervised nature.
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