New machine learning study published in Advanced Spectroscopy

by Randy P Carney
August 03, 2021

Our new manuscript has been published in Advanced Spectroscopy by first authors Tatu Rojalin and Dexter Antonio.

This study reports our first results in collaboration with Prof. Ambar Kulkarni (UC Davis Chemical Engineering), supported by our recent CeDAR grant. Here we trained a machine learning algorithm to recognize "good" vs "bad" Raman spectra, which currently is done by trained users and represents a huge bottleneck in adopting Raman methods to the clinic. We plan to continue to develop this approach to implement it into a totally automated sample measurement platform, removing the need for a trained spectroscopist at the point of care.

The manuscript is fully open access and all raw data is published alongside the study here.

Download the pdf of the manuscript directly:

Rojalin et al Adv Spec 2021.pdf