Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...
Physicists have developed a spectral-filtering technique that strips away unwanted extra photons from quantum light sources, ...
Stimulated Raman Scattering (SRS) has been developed as an essential quantitative contrast for chemical imaging in recent years. However, the spectral resolution of the mainstream SRS modalities is ...
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
By capturing intensity and phase changes in a single measurement, new method could help scientists design new materials, ...
The study suggests that physically informed AI can do more than interpolate missing data; it can help connect satellite ...
Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...
A new method for identifying types of plastics, built on advanced spectral imaging and machine learning, could make recycling ...