New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

More information: Katherine Ember et al, Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning, Journal of Biomedical ...

Now researchers have demonstrated that machine learning can streamline the analysis of surface-enhanced Raman scattering spectra to readily detect toxins in human tissue (Proc. Natl. Acad. Sci. U ...

The versatility of the BrixX® covers a wide range of applications like RAMAN spectroscopy, machine vision, metrology and many more. The USB2.0 and the RS-232 interface allow deep integration of the ...

Raman spectroscopy and infrared spectroscopy (IR) both serve as valuable tools in analyzing biotherapeutics but have distinct differences. One significant contrast is their sensitivity to water ...

Surface-enhanced Raman spectroscopy is a highly sensitive molecule characterization method, significantly more sensitive than ordinary Raman spectroscopy due to the excitation of Raman modes ...

The research team are using Raman spectroscopy to find signatures of radiation resistance in tumours. (Courtesy: Will Kirk/Homewood Photography) Researchers from Johns Hopkins University and the ...

His research, which combines Raman spectroscopy with machine learning, aims to provide a faster, more accurate, and non-destructive method for analyzing crime scene evidence.

Applications Verisante applies Raman spectroscopy to skin and lung cancer 22 Jan 2013 Bringing Raman techniques within practical reach for diagnosis could have huge clinical impact. Aura: bringing ...