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Documentation for pynxtools-em

pynxtools-em is a free and open-source data software for creating standardized semantic serializations of electron microscopy data and metadata for research data management using NeXus, implemented with the goal to make scientific research data FAIR (findable, accessible, interoperable, and reusable).

pynxtools-em, which is a plugin for pynxtools, provides a tool for reading data and metadata from various proprietary and open data formats from technology partners and the wider electron microscopy community and standardizing it such that it is compliant with the NeXus application definition NXem.

pynxtools-em is developed both as a standalone reader and as a tool within NOMAD, which is the open-source research data management platform for materials science we are developing with FAIRmat.

pynxtools-em solves the challenge of using heterogeneous and semantically ambiguous serialization formats which is common in electron microscopy. In addition, it provides an interface for writing readers for different file formats to be mapped to NeXus.

pynxtools-em is useful for scientists from the electron microscopy community, for technology partners, software developers, and data providers who search for ways to make their data more completely aligned with the aims of the FAIR principles. Specifically the tool is useful for research groups who wish to organize their research data based on an interoperable standard.

Tutorial

A series of tutorials giving you an overview on how to store or convert your EM data to NeXus compliant files.

How-to guides

How-to guides provide step-by-step instructions for a wide range of tasks, with the overarching topics:

Learn

The explanation section provides background knowledge on the implementation design.

Reference

Here you can learn which specific pieces of information and concepts pynxtools-em currently supports for the respective file formats of technology partners of the electron microscopy community.

Project and community

Any questions or suggestions? Get in touch!

The work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 460197019 (FAIRmat).