Deep Learning Based Phase and Baseline Correction of 1D 1H NMR Spectra
Overview
Bruker's commitment in developing artificial intelligence based NMR applications has led to a new function available in TopSpin: the automatic simultaneous phase and baseline correction of 1H NMR spectra.
During this webinar, Dr. Simon Bruderer and Dr. Federico Paruzzo guide us through this new application. After presenting the team behind this effort, they give some technical details on this new algorithm and compare its performance with other TopSpin methods available for the same task. Finally, they demonstrate how to use this application in practice, and highlight some results obtained on experimental spectra.
May 11, 2021
11:00AM EST | 05:00PM CET
Speakers
Federico Paruzzo, PhD
Data Scientist, BrukerOriginally from Turin, Italy, I have obtained my Ph.D. from the EPFL, Lausanne. During my studies, I have specialized in experimental NMR and machine learning. I have joined Bruker in January 2020 as a data scientist, where I can use my knowledge to take part of the development of the next generation of NMR instrumentation.
Simon Bruderer, PhD
Data Scientist, Bruker BioSpinI grew up in Switzerland and received a Ph.D. in astrophysics from ETH Zurich. After a postdoc in astrochemistry at the Max Planck Institute for Extraterrestrial Physics in Garching, I have been teaching physics and informatics at a high-school and worked as Data Scientist at Credit Suisse. I joined Bruker in November 2019 as a data scientist to apply my experience in deep learning and spectroscopy helping to develop innovative and user-friendly tools for NMR spectroscopy.