User Tools

Site Tools


pipeline:utilities:sp_eval_isac

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
pipeline:utilities:sp_eval_isac [2020/07/24 23:21]
shaikh
pipeline:utilities:sp_eval_isac [2020/10/21 10:17]
shaikh
Line 15: Line 15:
 ===== Typical usage ===== ===== Typical usage =====
 [{{ :pipeline:utilities:regular-evil-isac.png?275|Regular ISAC (top) vs. Evil ISAC (bottom)}}] [{{ :pipeline:utilities:regular-evil-isac.png?275|Regular ISAC (top) vs. Evil ISAC (bottom)}}]
-The purpose of sp_separate_class.py is to: +The purpose of sp_eval_isac.py is to: 
   : write particle-membership lists for each class   : write particle-membership lists for each class
   : write separate stacks for each class,    : write separate stacks for each class, 
Line 53: Line 53:
  
 \\ __7. Apply a Gaussian band-pass filter to an image stack (e.g., class averages)__:[{{ :pipeline:utilities:plotbandpass.png?400|Shape of the band-pass filter}}] \\ __7. Apply a Gaussian band-pass filter to an image stack (e.g., class averages)__:[{{ :pipeline:utilities:plotbandpass.png?400|Shape of the band-pass filter}}]
-  sp_eval_isac.py input_class_avgs output_directory --particles=input_image_stack --align_isac_dir=isac_directory --write_centered --applyparams=centering_mode+  sp_eval_isac.py input_class_avgs output_directory --apix=pixel_size --bandpass_radius=bandpass_radius_angstroms
  
 The default beautifier settings (CTF-correction using a Wiener filter and power-spectrum adjustment) will amplify the low-resolution data, and may make the averages more difficult to interpret. A band-pass filter will dampen the lowest-resolution data, and also the high-resolution noise. This filtration may be helpful for recognizing smaller complexes. The default beautifier settings (CTF-correction using a Wiener filter and power-spectrum adjustment) will amplify the low-resolution data, and may make the averages more difficult to interpret. A band-pass filter will dampen the lowest-resolution data, and also the high-resolution noise. This filtration may be helpful for recognizing smaller complexes.
pipeline/utilities/sp_eval_isac.txt ยท Last modified: 2020/10/21 10:17 by shaikh