Raynals, an online tool for the analysis of dynamic light scattering.
Raynals
dynamic light scattering
hydrodynamic radius
molecular biophysics
online data analysis
protein quality control
size distribution
software
Journal
Acta crystallographica. Section D, Structural biology
ISSN: 2059-7983
Titre abrégé: Acta Crystallogr D Struct Biol
Pays: United States
ID NLM: 101676043
Informations de publication
Date de publication:
01 Aug 2023
01 Aug 2023
Historique:
received:
25
04
2023
accepted:
05
06
2023
medline:
3
8
2023
pubmed:
10
7
2023
entrez:
10
7
2023
Statut:
ppublish
Résumé
Dynamic light scattering (DLS) is routinely employed to assess the homogeneity and size-distribution profile of samples containing microscopic particles in suspension or solubilized polymers. In this work, Raynals, user-friendly software for the analysis of single-angle DLS data that uses the Tikhonov-Phillips regularization, is introduced. Its performance is evaluated on simulated and experimental data generated by different DLS instruments for several proteins and gold nanoparticles. DLS data can easily be misinterpreted and the simulation tools available in Raynals allow the limitations of the measurement and its resolution to be understood. It was designed as a tool to address the quality control of biological samples during sample preparation and optimization and it helps in the detection of aggregates, showing the influence of large particles. Lastly, Raynals provides flexibility in the way that the data are presented, allows the export of publication-quality figures, is free for academic use and can be accessed online on the eSPC data-analysis platform at https://spc.embl-hamburg.de/.
Identifiants
pubmed: 37428846
pii: S2059798323004862
doi: 10.1107/S2059798323004862
pmc: PMC10394669
doi:
Substances chimiques
Gold
7440-57-5
Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
673-683Subventions
Organisme : H2020 Marie Skłodowska-Curie Actions
ID : 945405
Organisme : Horizon 2020 Framework Programme
ID : 101004806
Informations de copyright
open access.
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