Metadata-Version: 2.1
Name: holoaverage
Version: 1.1.8
Summary: Reconstruction and averaging of off-axis electron holograms as obtained by transmission electron microscopes.
Home-page: https://github.com/niermann/holoaverage
Author: Tore Niermann
Author-email: tore.niermann@tu-berlin.de
License: GPLv3+
Project-URL: Documentation, https://holoaverage.readthedocs.io
Project-URL: Source Code, https://github.com/niermann/holoaverage
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Provides: holoaverage
Provides-Extra: rst
Provides-Extra: fftw
License-File: LICENSE.txt


Holoaverage is a Python script for the reconstruction and averaging of series of off-axis electron holograms, 
typically recorded in transmission electron holograms. The averaging is performed iteratively, such that instabilities 
of the microscope, like specimen and biprism drifts, can be tracked and corrected between consecutive exposures.

The averaging process is speed up, when also the `pyFFTW <http://hgomersall.github.com/pyFFTW/>`_ package is installed. 
However, is not a requirement for holoaverage and thus not automatically installed by ``pip``.

The source for holoaverage can be found on `GitHub <https://github.com/niermann/holoaverage>`_. The documentation can
be found on `ReadTheDocs <https://holoaverage.readthedocs.io>`_.
