In this interview, Data Scientist Federico Paruzzo discusses how Bruker has used deep learning to develop sigreg, the first machine-learning-based command available in Bruker’s TopSpin software.

High resolution and sensitivity are critical in nuclear magnetic resonance (NMR) spectroscopy. Both can be overdoubled when using heteronuclear decoupling. This enables the severance of overlapping ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

NMR spectroscopy is a powerful technique that is ideally suited to the characterization and analysis of a diverse array of chemical compounds. Unlike many other analytical techniques, NMR spectroscopy ...

Nuclear magnetic resonance (NMR) spectroscopy plays a crucial role in electrolyte analysis by offering insights into various aspects. One key feature of NMR is the ability to perform multi-nuclear ...

The development of tumors begins with miniscule changes within the body's cells; ion diffusion at the smallest scales is decisive in the performance of batteries. Until now, the resolution of ...

In 2014, Agilent Technologies announced that it would stop selling nuclear magnetic resonance systems. Agilent, which had acquired its NMR rival Varian in 2010, continued to fulfill existing orders, ...