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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

A new method combines artificial intelligence with a laser-based technique called Raman spectroscopy to distinguish between tissue types like bone, fat, and muscle commonly encountered in orthopedic ...

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 ...