Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning

NM Ralbovsky, IK Lednev - Chemical Society Reviews, 2020 - pubs.rsc.org
Many problems exist within the myriad of currently employed screening and diagnostic
methods. Further, an incredibly wide variety of procedures are used to identify an even …

Vibrational spectroscopy fingerprinting in medicine: from molecular to clinical practice

V Balan, CT Mihai, FD Cojocaru, CM Uritu, G Dodi… - Materials, 2019 - mdpi.com
In the last two decades, Fourier Transform Infrared (FTIR) and Raman spectroscopies turn
out to be valuable tools, capable of providing fingerprint-type information on the composition …

Deep learning meets hyperspectral image analysis: A multidisciplinary review

A Signoroni, M Savardi, A Baronio, S Benini - Journal of imaging, 2019 - mdpi.com
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections

C Carlomagno, D Bertazioli, A Gualerzi, S Picciolini… - Scientific reports, 2021 - nature.com
The pandemic of COVID-19 is continuously spreading, becoming a worldwide emergency.
Early and fast identification of subjects with a current or past infection must be achieved to …

Decoding chemical information from vibrational spectroscopy data: Local vibrational mode theory

E Kraka, W Zou, Y Tao - Wiley Interdisciplinary Reviews …, 2020 - Wiley Online Library
Modern vibrational spectroscopy is more than just an analytical tool. Information about the
electronic structure of a molecule, the strength of its bonds, and its conformational flexibility …

Digital histopathology by infrared spectroscopic imaging

R Bhargava - Annual Review of Analytical Chemistry, 2023 - annualreviews.org
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra,
enabling a comprehensive measurement of the chemical makeup and heterogeneity of …

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

M Paraskevaidi, BJ Matthew, BJ Holly… - Applied Spectroscopy …, 2021 - Taylor & Francis
Analytical technologies that can improve disease diagnosis are highly sought after. Current
screening/diagnostic tests for several diseases are limited by their moderate diagnostic …

Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species

JW Tang, QH Liu, XC Yin, YC Pan, PB Wen… - Frontiers in …, 2021 - frontiersin.org
Raman spectroscopy (RS) is a widely used analytical technique based on the detection of
molecular vibrations in a defined system, which generates Raman spectra that contain …

Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning

Z Xu, Y Jiang, J Ji, E Forsberg, Y Li, S He - Optics Express, 2020 - opg.optica.org
A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning
algorithms for hyperspectral detection of microalgae is presented. The THMI system has …

From lab to field: Surface-enhanced Raman scattering-based sensing strategies for on-site analysis

J Guo, Y Liu, H Ju, G Lu - TrAC Trends in Analytical Chemistry, 2022 - Elsevier
Surface-enhanced Raman scattering (SERS) owns high sensitivity, excellent selectivity and
strong resistance to water and air, and can be used for nondestructive detection by portable …