Label-free SERS/machine learning procedures for protein classification

Edoardo Farnesi; Andrea Barucci; Cristiano D'Andrea; Martina Banchelli; Chiara Amicucci; Marella de Angelis; Michael Schmitt; Paolo Matteini

doi:10.1117/12.2615448

9 December 2021 Label-free SERS/machine learning procedures for protein classification

Edoardo Farnesi, Andrea Barucci, Cristiano D'Andrea, Martina Banchelli, Chiara Amicucci, Marella de Angelis, Michael Schmitt, Paolo Matteini

Author Affiliations +

Proceedings Volume 11920, Diffuse Optical Spectroscopy and Imaging VIII; 1192025 (2021) https://doi.org/10.1117/12.2615448
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

We introduce an efficacious machine learning classification plus chemostructural characterization of proteins by a mixed data processing based on Principal Component Analysis applied to multipeak fitting on Surface-enhanced Raman Scattering spectra.

Citation Download Citation

Edoardo Farnesi, Andrea Barucci, Cristiano D'Andrea, Martina Banchelli, Chiara Amicucci, Marella de Angelis, Michael Schmitt, and Paolo Matteini "Label-free SERS/machine learning procedures for protein classification", Proc. SPIE 11920, Diffuse Optical Spectroscopy and Imaging VIII, 1192025 (9 December 2021); https://doi.org/10.1117/12.2615448

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available