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

Advanced tools like scanning electron microscopy (SEM) and Raman spectroscopy were used to evaluate the structural and optical properties of the materials. The team also tested the sensor's ...

The Trade-Adverse Trade Adviser: Once sidelined, President Trump’s counselor Peter Navarro has returned to Washington and ...

Bioreactor calibration and monitoring is a key part of many biological processes, find out how Raman process analyzer aid in ...

What is new is the combination of optofluidic force induction with Raman spectroscopy. Now the spectrum of the laser light scattered by individual particles in the liquid is also analyzed.

Discover the fundamentals of polymer analysis with this introduction to near-infrared (NIR) and Raman spectroscopy.

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Werner Heisenberg submitted a paper to Zeitschrift für Physik entitled ‘On quantum-theoretical reinterpretation of kinematic and mechanical relationships’, thus giving birth to quantum mechanics. In ...