A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.

Machine learning models and spectral analysis provide a scalable alternative to conventional trace metal detection.

A new review article highlights how researchers in Moscow are integrating machine learning with optical spectroscopy techniques to enhance real-time diagnosis and surgical precision in central nervous system tumor treatment.

Experts from across the industry prepare to explore the critical efficiency hurdles semiconductor fabricators are facing today, introducing themselves and their backgrounds.

Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.

A recent study showcases a cost-effective, ecofriendly UV spectrophotometric method enhanced with dimension reduction algorithms to accurately quantify veterinary drugs dexamethasone and prednisolone, offering a sustainable alternative to traditional analysis techniques.

Spectroscopy spoke to Lingyan Shi of the University of California San Diego, about her team's research exploring a noninvasive cancer classification tool.

A recent study reports high-purity blue emission and thermal stability in novel lanthanum (III) complex synthesized via low-energy precipitation method.

This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.

Researchers develop robust diagnostic method using functional near-infrared (fNIR) spectroscopy and deep neural networks with high accuracy.

Top articles published this week include a compilation of some of the top KOL interviews for the month of June, an announcement from DialAct Corporation about a new product line of Raman spectrometers, and an inside look at Raman spectroscopy in biomedicine.

Researchers from Cranfield University and partners from industry demonstrated the feasibility of using advanced, non-destructive imaging techniques to analyze and standardize organo-mineral fertilizers.

A new study published in Minerals reveals that red coral artifacts unearthed in Xinjiang’s Shengjindian cemetery originated from the western Mediterranean, highlighting early Silk Road trade and long-distance cultural exchange during the Han Dynasty.

Earlier this month, ABB and Hydrosat announced an expansion of their partnership by launching the second infrared (IR) camera that will go aboard Hydrosat’s VanZyl-2 satellite, which is scheduled for summer 2025.

A team of researchers from Spanish institutions has found that polystyrene used in healthcare packaging shows strong resistance to UVC sterilization, with minimal chemical degradation detected using FT-IR and Raman spectroscopy.