| Literature DB >> 29286634 |
Iwan W Schie1, Jan Rüger1, Abdullah S Mondol1, Anuradha Ramoji1,2, Ute Neugebauer1,2,3, Christoph Krafft1, Jürgen Popp1,2,3.
Abstract
We present a high-throughput screening Raman spectroscopy (HTS-RS) platform for a rapid and label-free macromolecular fingerprinting of tens of thousands eukaryotic cells. The newly proposed label-free HTS-RS platform combines automated imaging microscopy with Raman spectroscopy to enable a rapid label-free screening of cells and can be applied to a large number of biomedical and clinical applications. The potential of the new approach is illustrated by two applications. (1) HTS-RS-based differential white blood cell count. A classification model was trained using Raman spectra of 52 218 lymphocytes, 48 220 neutrophils, and 7 294 monocytes from four volunteers. The model was applied to determine a WBC differential for two volunteers and three patients, producing comparable results between HTS-RS and machine counting. (2) HTS-RS-based identification of circulating tumor cells (CTCs) in 1:1, 1:9, and 1:99 mixtures of Panc1 cells and leukocytes yielded ratios of 55:45, 10:90, and 3:97, respectively. Because the newly developed HTS-RS platform can be transferred to many existing Raman devices in all laboratories, the proposed implementation will lead to a significant expansion of Raman spectroscopy as a standard tool in biomedical cell research and clinical diagnostics.Entities:
Mesh:
Year: 2018 PMID: 29286634 DOI: 10.1021/acs.analchem.7b04127
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986