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Major Progress Made in the Design and Application of High-throughput SERS Platform by Prof. Feng Shangyuan and Dr. Lin Duo's Team from College of Photonic and Electronic Engineering of FNU
The comparison of SERS spectrum and spontaneous Raman spectrum of
SERS spectra of B16F10 melanoma derived exosomes for 40% coverage
Cancer characterization and diagnosis with SERS-encoded particles, Cancer Nanotechnology
Rapid and precise detection of cancers via label-free SERS and deep learning
SERS spectra of B16F10 melanoma derived exosomes for 40% coverage
PDF) Infrared molecular fingerprinting of blood-based liquid
Surface-enhanced Raman spectroscopy for bioanalysis and diagnosis - Nanoscale (RSC Publishing) DOI:10.1039/D1NR00708D
Detection of Helicobacter pylori Infection in Human Gastric Fluid Through Surface-Enhanced Raman Spectroscopy Coupled With Machine Learning Algorithms - Laboratory Investigation
Tumor staging. a Mean absorbance difference per wavenumber
Cancers, Free Full-Text
Untargeted Tumor Metabolomics with Liquid Chromatography–Surface‐Enhanced Raman Spectroscopy - Xiao - 2020 - Angewandte Chemie International Edition - Wiley Online Library
PDF) An AI-powered blood test to detect cancer using nanoDSF
