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.

In the past decade, the potential of harnessing the ability of nuclear magnetic resonance (NMR) spectroscopy to monitor intermolecular interactions as a tool for drug discovery has been increasingly ...

Liquid-liquid phase separation (LLPS) of protein solutions is increasingly recognised as an important phenomenon in cell biology and biotechnology. However, opalescence and concentration fluctuations ...

NMR spectroscopy can be used to elucidate structures, quantify target compounds and enable synthesis reaction monitoring in real time. It is possible to easily integrate benchtop NMR instruments into ...

Nuclear Magnetic Resonance (NMR) was first experimentally observed in late 1945, nearly simultaneously by the research groups of Felix Bloch, at Stanford University and Edward Purcell at Harvard ...