A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

What will you learn on this course? This course is an introduction to mass spectral interpretation, aimed at presenting the fundamental tools and rules when examining high quality full-scan GC-MS data ...

For scientists and engineers, the best way to understand a new or unknown material--whether it's an alloy, a pharmaceutical or a meteorite--is to delve into its atoms. Techniques such as X-ray ...

Ocean Optics reports on how spectroscopy revolutionizes research by utilizing light to analyze materials, improving accuracy ...

In this interview, Kevin Broadbelt of Thermo Fisher Scientific discusses the small molecule applications of process Raman spectroscopy. How do cell therapies differ in complexity compared to ...

Workflow of the proposed AI-based approach interpreting X-ray absorption spectroscopy (XAS) data (IMAGE) ...

Master the principles of MS/MS in proteomics to improve peptide sequencing accuracy. This guide covers fragmentation methods, ...

Water is an abundant and essential compound, found everywhere on Earth. Yet despite its familiarity and simple structure, water displays many unusual physical properties. For more than a century, ...