Ontology highlight
ABSTRACT:
SUBMITTER: Esposito C
PROVIDER: S-EPMC10670489 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
Esposito Concetta C Janneh Mohammed M Spaziani Sara S Calcagno Vincenzo V Bernardi Mario Luca ML Iammarino Martina M Verdone Chiara C Tagliamonte Maria M Buonaguro Luigi L Pisco Marco M Aversano Lerina L Cusano Andrea A
Cells 20231117 22
We investigated the possibility of using Raman spectroscopy assisted by artificial intelligence methods to identify liver cancer cells and distinguish them from their Non-Tumor counterpart. To this aim, primary liver cells (40 Tumor and 40 Non-Tumor cells) obtained from resected hepatocellular carcinoma (HCC) tumor tissue and the adjacent non-tumor area (negative control) were analyzed by Raman micro-spectroscopy. Preliminarily, the cells were analyzed morphologically and spectrally. Then, three ...[more]