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A collection of tools for painting super-resolution images

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Picasso

A collection of tools for painting super-resolution images. The Picasso software is complemented by our Nature Protcols publication (https://www.nature.com/nprot/journal/v12/n6/abs/nprot.2017.024.html).

Installation

Download and run the installer file from http://www.jungmannlab.org/.

Advanced installation for Python programmers

As an alternative to the stand-alone program for end-users, Picasso can be installed as a Python package. This is the preferred option to use Picasso's internal routines in custom Python programs. At the same time, it is still possible to use Picasso as an end-user by creating the respective Windows shortcuts. This allows Picasso to be used on the same system by both programmers and end-users.

Requirements

Python 3.* (currently tested with 3.5)

We highly recommend the Anaconda or Miniconda Python distribution which comes with a powerful package manager.

Python packages

The following packages are required:
h5py matplotlib numba numpy scipy pyqt pyyaml scikit-learn colorama lmfit tqdm
When using Anaconda or Miniconda, most can be installed via conda install <package>. However, some packages need to be obtained from third-party conda channels. Visit anaconda.org to search for them. Use pip as a last resort to install packages from PyPi.

Installation

  1. Open the console, cd to the directory where you want to install and run git clone https://github.com/jungmannlab/picasso Alternatively, download the zip file and unzip it.
  2. Change to the downloaded directory and run python setup.py install.
  3. Run the PowerShell script "createShortcuts.ps1" in the gui directory. This should be doable by right-clicking on the script and choosing "Run with PowerShell". Alternatively, run the command powershell ./createShortcuts.ps1 in the command line. Use the generated shortcuts in the top level directory to start GUI components. Users can drag these shortcuts to their Desktop, Start Menu or Task Bar.

Contributions & Copyright

Contributors: Joerg Schnitzbauer, Maximilian Strauss
Copyright (c) 2015-2017 Jungmann Lab, Max Planck Institute of Biochemistry

Credits

  • Design icon based on "Hexagon by Creative Stalls from the Noun Project"
  • Simulate icon based on "Microchip by Futishia from the Nount Project"
  • Localize icon based on "Mountains by MONTANA RUCOBO from the Noun Project"
  • Filter icon based on "Funnel by José Campos from the Noun Project"
  • Render icon based on "Paint Palette by Vectors Market from the Noun Project"
  • Average icon based on "Layers by Creative Stall from the Noun Project"

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