Combining Fast Raman Imaging with Optimization of the Spatial Resolution for Complete Measurement

A new deep learning-enhanced spectroscopic platform—SERSome—developed by researchers in China and Finland, identifies medicinal and edible homologs (MEHs) with 98% accuracy. This innovation could revolutionize safety and quality control in the growing MEH market.

An interview with Paul Pudney, a winner of the William F. Meggers Award.

Analyze battery materials with precision using particle size and shape analysis alongside Raman spectroscopy to reveal structure, composition, and performance insights.

Volker Deckert, the winner of the 2013 Charles Mann Award, is advancing the use of tip enhanced Raman spectroscopy (TERS) to push the lateral resolution of vibrational spectroscopy well below the Abbe limit, to achieve single-molecule sensitivity. Because the tip can be moved with sub-nanometer precision, structural information with unmatched spatial resolution can be achieved without the need of specific labels.

Researchers at Delft University of Technology have developed a novel method using single compound spectra to enhance the transferability and accuracy of Raman spectroscopy models for real-time fermentation monitoring.

Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.