Release notes: Difference between revisions

From Relion
Jump to navigation Jump to search
No edit summary
Line 5: Line 5:
# Full classification and auto-refine capabilities for sub-tomogram averaging ([http://dx.doi.org/10.1016/j.str.2015.06.026 Bharat et al, Structure 2015])  
# Full classification and auto-refine capabilities for sub-tomogram averaging ([http://dx.doi.org/10.1016/j.str.2015.06.026 Bharat et al, Structure 2015])  
# 10x faster movie processing  
# 10x faster movie processing  
# Much improved efficiency when running more than 4-6 threads.
# Improved efficiency when running more than 4-6 threads.
# Possibility to compile in single-precision (saves 50% RAM)


== Release 1.3 (June 2014) ==
== Release 1.3 (June 2014) ==

Revision as of 09:42, 28 August 2015

Below are the main new features for each release.

Release 1.4 (September 2015)

  1. Full classification and auto-refine capabilities for sub-tomogram averaging (Bharat et al, Structure 2015)
  2. 10x faster movie processing
  3. Improved efficiency when running more than 4-6 threads.
  4. Possibility to compile in single-precision (saves 50% RAM)

Release 1.3 (June 2014)

  1. a movie-processing procedure for small (sub-Megadalton) particles (Scheres, eLife 2014)
  2. a template-matching based (semi-)automated particle picking procedure (Scheres, J. Struct. Biol. 2015)
  3. a new GUI with image-displaying functionalities. Just click your way through the entire image processing pipeline.

Release 1.2 (June 2013)

  1. a statistical movie-processing procedure (Bai et al, eLife 2013)
  2. a semi-automated post-processing procedure (for improved resolution estimates after masking, MTF correction and B-factor sharpening; Chen et al, Ultramicroscopy 2013 )

Release 1.1 (September 2012)

  1. convenient preprocessing procedures
  2. a fully automated refinement procedure (3D auto-refine) for homogeneous data sets, employing "gold-standard" FSC calculations (Scheres&Chen, Nat. Methods 2012, Scheres, J. Struct. Biol. 2012)

Release 1.0 (November 2011)

  1. 2D and 3D classification procedures. The latter can also be used for high-resolution refinement (Scheres, J. Mol. Biol. 2012)