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Welcome to the Zorro wiki. See the sidebar for various guides on installation, configuration, and usage.
Zorro represents a first effort at developing a dose-fractionation algorithm that is noise aware. In cryo-TEM the cross-correlations between frames in a dose-fractionated movie degrade quickly with increasing separation of dose. Zorro is also suitable for materials science electron microscopy applications, such as HAADF-STEM and HR-TEM.
A manuscript for Zorro has been submitted and the source code will be made available once it has been accepted (or returned with minor revisions).
Zorro may be run in three ways:
- Via the Automator GUI.
- From the command-line using human-editable configuration files.
- From within a Python script as an external package on an existing scientific Python distribution such as Anaconda.
On Linux, once you have installed it, navigate to a project directory and start the GUI as follows:
> automator &
On Windows, the standard output (including errors) are suppressed when you run the automator script, so instead open a IPython console and type:
In [1]: import automator
In [2]: automator.Automator()
Please see the sidebar for sub-topics, and if you encounter any errors please open an Issue or send a bug report to robert.mcleod@unibas.ch so they can be fixed.