期刊论文详细信息
Micromachines
Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip
Ute Neugebauer3  Christian Kurz1  Thomas Bocklitz4  Tina Berger2  Thomas Velten1  Joachim H. Clement2  Christoph Krafft3 
[1] Fraunhofer Institute for Biomedical Engineering (IBMT), Ensheimer Straße 48, D-66386 St. Ingbert, Germany; E-Mails:;Department of Internal Medicine II, Haematology and Medical Oncology, Jena University Hospital, Erlanger Allee 101, D-07747 Jena, Germany; E-Mails:;Leibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Str. 9, D-07745 Jena, Germany; E-Mails:;Institute of Physical Chemistry and Abbe Center of Photonic, Friedrich-Schiller-University Jena, Helmholtzweg 4, D-07743 Jena, Germany; E-Mail:
关键词: Raman spectroscopy;    circulating tumor cells;    cell identification;    microhole array chip;   
DOI  :  10.3390/mi5020204
来源: mdpi
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【 摘 要 】

Circulating tumor cells (CTCs) from blood of cancer patients are valuable prognostic markers and enable monitoring responses to therapy. The extremely low number of CTCs makes their isolation and characterization a major technological challenge. For label-free cell identification a novel combination of Raman spectroscopy with a microhole array platform is described that is expected to support high-throughput and multiplex analyses. Raman spectra were registered from regularly arranged cells on the chip with low background noise from the silicon nitride chip membrane. A classification model was trained to distinguish leukocytes from myeloblasts (OCI-AML3) and breast cancer cells (MCF-7 and BT-20). The model was validated by Raman spectra of a mixed cell population. The high spectral quality, low destructivity and high classification accuracy suggests that this approach is promising for Raman activated cell sorting.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

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