August 25th 2025
This tutorial contrasts classical analytical error propagation with modern Bayesian and resampling approaches, including bootstrapping and jackknifing. Uncertainty estimation in multivariate calibration remains an unsolved problem in spectroscopy, as traditional, Bayesian, and resampling approaches yield differing error bars for chemometric models like PLS and PCR, highlighting the need for deeper theoretical and practical solutions.
Applying Raman Spectroscopy with Machine Learning to Detect Alzheimer’s Disease
June 11th 2024A recent study published in the International Journal of Molecular Science shows how Raman spectroscopy combined with machine learning can serve as an improved alternative detection method to preclinical Alzheimer’s diagnosis.
Advanced Raman Techniques for Micro- and Nanoplastics Detection
June 7th 2024A recent review article discusses four advanced Raman techniques, including surface-enhanced Raman scattering (SERS), Raman tweezers (RTs), tip-enhanced Raman scattering (TERS), and Raman mapping/imaging (RM/RI), and how these techniques are being applied for the detection of micro- and nanoplastics.