Automated matching of two-time X-ray photon correlation maps from phase-separating proteins with Cahn–Hilliard-type simulations using auto-encoder networks

Machine learning methods are used for an automated classification of experimental two-time X-ray photon correlation maps from an arrested liquid–liquid phase separation of a protein solution. The correlation maps are matched with correlation maps generated with Cahn–Hilliard-type simulations of liqu...

Descripción completa

Detalles Bibliográficos
Autores principales: Timmermann, Sonja, Starostin, Vladimir, Girelli, Anita, Ragulskaya, Anastasia, Rahmann, Hendrik, Reiser, Mario, Begam, Nafisa, Randolph, Lisa, Sprung, Michael, Westermeier, Fabian, Zhang, Fajun, Schreiber, Frank, Gutt, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348880/
https://www.ncbi.nlm.nih.gov/pubmed/35974741
http://dx.doi.org/10.1107/S1600576722004435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348880/
https://www.ncbi.nlm.nih.gov/pubmed/35974741
http://dx.doi.org/10.1107/S1600576722004435

Ejemplares similares