Prediction of multiple pH compartments by deep learning in magnetic resonance spectroscopy with hyperpolarized (13)C-labelled zymonic acid

BACKGROUND: Hyperpolarization enhances the sensitivity of nuclear magnetic resonance experiments by between four and five orders of magnitude. Several hyperpolarized sensor molecules have been introduced that enable high sensitivity detection of metabolism and physiological parameters. However, hype...

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Detalles Bibliográficos
Autores principales: Fok, Wai-Yan Ryana, Grashei, Martin, Skinner, Jason G., Menze, Bjoern H., Schilling, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035201/
https://www.ncbi.nlm.nih.gov/pubmed/35460436
http://dx.doi.org/10.1186/s13550-022-00894-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035201/
https://www.ncbi.nlm.nih.gov/pubmed/35460436
http://dx.doi.org/10.1186/s13550-022-00894-y

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