SAStutorials.org – online tutorials on small-angle scattering data analysis
Small-angle X-ray and neutron scattering (SAXS and SANS) are versatile techniques for studying the structure of various materials and particles, enabling investigations of structures from a few to hundreds of nanometres. However, interpreting SAXS or SANS data can be challenging, hence the need for effective training. Here, we present the website SAStutorials.org, which offers tutorials on small-angle scattering (SAS) data analysis. The website serves as a learning platform that supports active learning both in the classroom and through self-study. The tutorials cover basic concepts, advanced modelling and theoretical aspects of SAS. Each tutorial follows a structure based on the principle of SOLO taxonomy, guiding learners from minimal or no knowledge in a given area to the ability to tackle real-world problems. SAStutorials.org has been developed as a community tool, providing tutorials that encompass a broad range of data analysis types, leveraging various programs and investigating different materials. Moreover, the website and all its data are open source, encouraging contributions from the community.
Authors
- Carsten Svaneborg (ORCID: https://orcid.org/0000-0003-4301-3365)
- Jacob J. K. Kirkensgaard (ORCID: https://orcid.org/0000-0001-6265-0314)
- Alexey Kikhney (ORCID: https://orcid.org/0000-0003-1321-3956)
- Bence Fehér (ORCID: https://orcid.org/0000-0001-8621-623X)
- Arwen I. I. Tyler (ORCID: https://orcid.org/0000-0003-2116-1084)
- Neshat Moslehi (ORCID: https://orcid.org/0000-0003-2761-6449)
- Federica Sebastiani (ORCID: https://orcid.org/0000-0002-7405-6125)
- Andreas Haahr Larsen (ORCID: https://orcid.org/0000-0002-2230-2654)
- Jesper Bruun (ORCID: https://orcid.org/0000-0003-4739-7351)
- Melissa A. Graewert (ORCID: https://orcid.org/0000-0001-7547-636X)
- Ilja K. Voets (ORCID: https://orcid.org/0000-0003-3543-4821)
- Martin Cramer Pedersen (ORCID: https://orcid.org/0000-0002-8982-7615)
- Jan Skov Pedersen (ORCID: https://orcid.org/0000-0002-7768-0206)
- Shinji Kihara (ORCID: https://orcid.org/0000-0001-9753-4217)
- Viktor Holm-Janas (ORCID: https://orcid.org/0000-0001-8772-6661)
- Kristian Lytje (ORCID: https://orcid.org/0000-0001-8743-7990)
- J. Jacobsen
- Lau Blom Grøndahl
Institutions
- Semmelweis University (HU)
- University of Copenhagen (DK)
- University of Leeds (GB)
- University of Southern Denmark (DK)
- Aarhus University (DK)
- European Molecular Biology Laboratory (DE)
- European Molecular Biology Laboratory (DE)
- Eindhoven University of Technology (NL)
- IT University of Copenhagen (DK)
Publication Details
- Journal
- Journal of Applied Crystallography
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1107/s1600576725001062
- Citations
- 2
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- Johns Hopkins University
- Lundbeckfonden