Software: removal of bremsstrahlung background from SAXS signals with deep neural networks

DOI

Software for training and inference of neural network models to remove bremsstrahlung background from SAXS imaging data obtained at the European XFEL laboratory.

We thank Peter Steinbach for providing the codebase for the equivariant UNet, which we integrated into our repository.

Identifier
DOI https://doi.org/10.14278/rodare.2586
Related Identifier https://www.hzdr.de/publications/Publ-37977
Related Identifier https://doi.org/10.14278/rodare.2585
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:2586
Provenance
Creator Starke, Sebastian ORCID logo; Šmíd, Michal ORCID logo
Publisher Rodare
Publication Year 2023
Rights Closed Access; info:eu-repo/semantics/closedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Software
Version 1
Discipline Life Sciences; Natural Sciences; Engineering Sciences