IsoNet
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Some improvements
It seems that the software works.
There are still several things to improve:
- patch edge artifact in deconvolution
- Tilt angle offset and xtilt: The solution should be rotating subtomograms during 'isonet.py extract' using this two angles, along y and x respectively. During 'isonet.py predict', rotate entire tomograms then predict and rotate back.
- Reduce overlap of subtomograms as much as possible: The solution might be generating a lot more more random coordinates and select a subset of them with largest min interparticle distance.
- check grammar "The program crop the tomogram in multiple tiles (z,y,x) for multiprocessing and assembly them into one. e.g. (1,2,2)"