A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.

Researchers from the University of Oviedo used diffuse reflectance spectroscopy (DRS) and machine learning (ML) to analyze post-wildfire soil organic carbon fractions, identifying key spectral regions and algorithms for advancing remote sensing applications.

Melting point determination using ultraviolet-visible (UV-Vis) spectrophotometry can be used as a sequence-specific method for identifying therapeutic oligonucleotides in pharmaceutical quality control. This method offers a simple, highly selective approach to differentiate between isomers and ensure the integrity of oligonucleotide active pharmaceutical ingredients (APIs) and drug products.

Transmittance and reflectance measurements, which are useful for estimating the effects of various physical processes, can include thermal treatments, ionizing radiation exposure, optical exposure, and mechanical treatments—on both crystals and thin films.