Mercury in Cosmetics Using the Hydra-C Direct Mercury Analyzer - Teledyne Whitepaper

During EAS 2024, we interviewed Igor Lednev of the University of Albany about his storied career and his expectations for 2025.

Researchers from Stanford University have combined surface-enhanced Raman spectroscopy (SERS) with machine learning (ML) to enable rapid, precise single-cell analysis, offering potentially transformative applications in diagnostics and personalized medicine.

Light is utilized in a wide range of spectroscopic techniques and practices to gain a variety of information about materials and chemicals. These analyses can include material/chemical identification, quantitative analysis, quality control/quality assurance testing, and biological studies, among other applications. Applications, along with sample handling for both FTIR and UV-Vis spectroscopy, will be outlined in this paper.

A recent study examined the role that Raman spectroscopy is playing in disease diagnosis.