Unknown

Dataset Information

0

New perspectives for viability studies with high-content analysis Raman spectroscopy (HCA-RS).


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.

SUBMITTER: Mondol AS 

PROVIDER: S-EPMC6718400 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

New perspectives for viability studies with high-content analysis Raman spectroscopy (HCA-RS).

Mondol Abdullah Saif AS   Töpfer Natalie N   Rüger Jan J   Neugebauer Ute U   Popp Jürgen J   Schie Iwan W IW  

Scientific reports 20190902 1


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  ...[more]

Similar Datasets

| S-EPMC6832956 | biostudies-literature
| S-EPMC10152494 | biostudies-literature
| S-EPMC11307246 | biostudies-literature
| S-EPMC8699280 | biostudies-literature
| S-EPMC5407440 | biostudies-literature
| S-EPMC10879861 | biostudies-literature
| S-EPMC10448484 | biostudies-literature
| S-EPMC4336930 | biostudies-other
| S-EPMC9286315 | biostudies-literature
| 2416539 | ecrin-mdr-crc