Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

Raman, laser-induced breakdown, and nuclear magnetic resonance (NMR) spectroscopies; hyperspectral imaging; mass spectrometry; and density, and evolving standards for waste identification. The role of ...

The study establishes that advances in both sensor platforms and AI models have been instrumental in elevating crop type ...

A new approach developed by researchers at the Massachusetts Institute of Technology allows for remote detection of bacterial responses using hyperspectral imaging. A technique that captures image ...

Bolton, Massachusetts & New Orleans, Louisiana, April 29, 2025 (GLOBE NEWSWIRE) -- Headwall Photonics®, a leader in advanced hyperspectral imaging technology based in Bolton, MA, together with Laitram ...

It is now possible to obtain three-dimensional, high-resolution images of enzyme activity in tissue samples or whole ...

In the lab, the team demonstrated that the hydrogen leak detection tool can — in just minutes — detect hydrogen ...

Researchers from National Taiwan University and collaborators have developed a novel way to observe and monitor carbon dioxide (CO 2) conversion into carbon monoxide (CO) inside living cells ...