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Add mission statement to overview page #20

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31 changes: 31 additions & 0 deletions README.md
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# About LiberTEM

LiberTEM is an open source platform for high-throughput distributed
processing of electron microscopy datasets. Written primarily in Python,
it is capable of processing live data streams, processing offline data
interactively, and providing a computation engine for other libraries.
The library allows a user to explore the vast, diverse landscape of interesting
features which are revealed in electron microscope imagery.

Advanced analyses like ptychography, strain mapping
or phase and orientation mapping require the acquisition and processing of large
amounts of data. In the past this would take hours, but high-speed
imaging detectors for electrons that became available from 2014 onwards
created the potential to perform such analyses interactively in
real time, as is already the case in conventional microscopy.

However, the software available at the time was fundamentally not
capable of processing data at the rate these new detectors produced it.
That's why we started the LiberTEM project: to leverage the full potential of
high-speed imaging detectors in electron microscopy and other fields, and
make it possible to apply advanced computational imaging techniques
in real time. This opens the possibility to control microscopes with closed-loop
feedback, and of course to process huge datasets that modern
detectors can acquire, offline.

LiberTEM is split into several sub-projects: the processing engine, an
interactive web interface that is currently packaged with the processing
engine, live data processing infrastructure, several
application-specific packages, and spin-off packages with more general
application such as `sparseconverter`.

# LiberTEM projects

- [![docs](https://img.shields.io/badge/%F0%9F%95%AE-docs-green)](https://libertem.github.io/LiberTEM/) [![LiberTEM](https://img.shields.io/github/stars/LiberTEM/LiberTEM?label=LiberTEM&style=social)](https://github.com/liberTEM/LiberTEM/) **LiberTEM** is an open source platform for high-throughput distributed processing of large-scale binary data sets and live data streams using a modified MapReduce programming model.
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