New perspectives for viability studies with high-content analysis Raman spectroscopy (HCA-RS).
Sci Rep
; 9(1): 12653, 2019 09 02.
Article
in En
| MEDLINE
| ID: mdl-31477762
ABSTRACT
Raman spectroscopy has been widely used in clinical and molecular biological studies, providing high chemical specificity without the necessity of labels and with little-to-no sample preparation. However, currently performed Raman-based studies of eukaryotic cells are still very laborious and time-consuming, resulting in a low number of sampled cells and questionable statistical validations. Furthermore, the approach requires a trained specialist to perform and analyze the experiments, rendering the method less attractive for most laboratories. In this work, we present a new high-content analysis Raman spectroscopy (HCA-RS) platform that overcomes the current challenges of conventional Raman spectroscopy implementations. HCA-RS allows sampling of a large number of cells under different physiological conditions without any user interaction. The performance of the approach is successfully demonstrated by the development of a Raman-based cell viability assay, i.e., the effect of doxorubicin concentration on monocytic THP-1 cells. A statistical model, principal component analysis combined with support vector machine (PCA-SVM), was found to successfully predict the percentage of viable cells in a mixed population and is in good agreement to results obtained by a standard cell viability assay. This study demonstrates the potential of Raman spectroscopy as a standard high-throughput tool for clinical and biological applications.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Spectrum Analysis, Raman
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Sci Rep
Year:
2019
Document type:
Article
Affiliation country:
Alemania