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--- downloads:sphire_1_3 [2019/09/27 17:24]
twagner [What's new]
+++ downloads:sphire_1_3 [2019/09/27 17:30]
twagner [What's new]
@@ Line 14: / Line 14: @@
   * Integrated [[pipeline:window:cryolo|crYOLO 1.5]] for particle picking.  crYOLO is based on convolutional neural networks, and can accurately pick about ten micrographs per second.
-  * Integration of automatic 2D class selection with [[:auto_2d_class_selection|CINDERELLA]]. This tool is based on a deep learning network to separate 2D classes from .hdf / .mrcs files into good and bad classes. It uses the same deep neural network as crYOLO and comes pre-trained on a set of good and bad classes. Cinderella was written to automate cryo-EM data processing.
+  * Integration of automatic 2D class selection with [[:auto_2d_class_selection|Cinderella]]. This tool is based on a deep learning network to separate 2D classes from .hdf / .mrcs files into good and bad classes. It uses the same deep neural network as crYOLO and comes pre-trained on a set of good and bad classes. Cinderella was written to automate cryo-EM data processing.
-  * The new compare re-projections tool can now be used to produce side-by-side comparisons of the 2D class averages with the respective projections of the initial 3D model.
+  * The new [[pipeline:viper:sp_proj_compare|compare re-projections tool]] can now be used to produce side-by-side comparisons of the 2D class averages with the respective projections of the initial 3D model.
   * Visualization of 2D power spectra in CTER

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