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  Community-Driven Methods for Open and Reproducible Software Tools for Analyzing Datasets from Atom Probe Microscopy

Kühbach, M. T., London, A. J., Wang, Jing, J., Schreiber, D. K., Mendez Martin, F., Ghamarian, I., et al. (2021). Community-Driven Methods for Open and Reproducible Software Tools for Analyzing Datasets from Atom Probe Microscopy. Microscopy and Microanalysis, 1-16. doi:10.1017/S1431927621012241.

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Kühbach, Markus Tobias1, Author              
London, Andrew J.2, Author              
Wang, Jing, Jing3, Author
Schreiber, Daniel K.4, Author              
Mendez Martin, Francisca5, Author
Ghamarian, Iman6, 7, Author
Bilal, Huma8, Author
Ceguerra, Anna V.8, Author
1Theory and Simulation, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863392              
2United Kingdom Atomic Energy Authority, Culham Centre for Fusion Energy, Culham Science Centre, Abingdon, OxonOX14 3DB, UK, ou_persistent22              
3Pacific Northwest National Laboratory, Energy and Environment Directorate, 902 Battelle Boulevard, Richland, WA99352, USA., ou_persistent22              
4Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA, ou_persistent22              
5Department of Materials Science, Montanuniversität Leoben, Franz Josef-Straße 18, A-8700Leoben, Austria, ou_persistent22              
6Department of Materials Science and Engineering, University of Michigan, 2300 Hayward St, Ann Arbor, MI48109-2117, USA, ou_persistent22              
7School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK7019-1052, USA, ou_persistent22              
8Australian Centre for Microscopy & Microanalysis, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW2006, Australia, ou_persistent22              


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 Abstract: Atom probe tomography, and related methods, probe the composition and the three-dimensional architecture of materials. The software tools which microscopists use, and how these tools are connected into workflows, make a substantial contribution to the accuracy and precision of such material characterization experiments. Typically, we adapt methods from other communities like mathematics, data science, computational geometry, artificial intelligence, or scientific computing. We also realize that improving on research data management is a challenge when it comes to align with the FAIR data stewardship principles. Faced with this global challenge, we are convinced it is useful to join forces. Here, we report the results and challenges with an inter-laboratory call for developing test cases for several types of atom probe microscopy software tools. The results support why defining detailed recipes of software workflows and sharing these recipes is necessary and rewarding: Open source tools and (meta)data exchange can help to make our day-to-day data processing tasks become more efficient, the training of new users and knowledge transfer become easier, and assist us with automated quantification of uncertainties to gain access to substantiated results. © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America.


Language(s): eng - English
 Dates: 2021-07-272021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1017/S1431927621012241
 Degree: -



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Title: Microscopy and Microanalysis
  Abbreviation : Microsc. Microanal.
Source Genre: Journal
Publ. Info: New York, NY : Cambridge University Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 16 Identifier: ISSN: 1431-9276
CoNE: https://pure.mpg.de/cone/journals/resource/991042731793414