In astronomy, we rely heavily on visual information. Images from telescopes, graphs of light curves, plotted orbits, spectra ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis. Researchers ...

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 ...

Explore how Raman spectroscopy supports quantitative pharmaceutical analysis by enabling accurate measurement of active ...

What will you learn on this course? This course is an introduction to mass spectral interpretation presenting the fundamental tools and rules when interpreting full-scan LC-MS data. The delegates will ...

This webinar will discuss advanced techniques in NMR spectroscopy, providing descriptions of one-dimensional and two-dimensional NMR experiment types and data interpretation techniques, with examples ...

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 ...