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Article

Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip

1
Leibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Str. 9, D-07745 Jena, Germany
2
Center for Sepsis Control and Care (CSCC), Jena University Hospital, Erlanger Allee 101, D-07747 Jena, Germany
3
Fraunhofer Institute for Biomedical Engineering (IBMT), Ensheimer Straße 48, D-66386 St. Ingbert, Germany
4
Institute of Physical Chemistry and Abbe Center of Photonic, Friedrich-Schiller-University Jena, Helmholtzweg 4, D-07743 Jena, Germany
5
Department of Internal Medicine II, Haematology and Medical Oncology, Jena University Hospital, Erlanger Allee 101, D-07747 Jena, Germany
*
Author to whom correspondence should be addressed.
Micromachines 2014, 5(2), 204-215; https://doi.org/10.3390/mi5020204
Received: 11 December 2013 / Revised: 5 April 2014 / Accepted: 8 April 2014 / Published: 22 April 2014
(This article belongs to the Collection Lab-on-a-Chip)
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. View Full-Text
Keywords: Raman spectroscopy; circulating tumor cells; cell identification; microhole array chip Raman spectroscopy; circulating tumor cells; cell identification; microhole array chip
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MDPI and ACS Style

Neugebauer, U.; Kurz, C.; Bocklitz, T.; Berger, T.; Velten, T.; Clement, J.H.; Krafft, C.; Popp, J. Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip. Micromachines 2014, 5, 204-215. https://doi.org/10.3390/mi5020204

AMA Style

Neugebauer U, Kurz C, Bocklitz T, Berger T, Velten T, Clement JH, Krafft C, Popp J. Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip. Micromachines. 2014; 5(2):204-215. https://doi.org/10.3390/mi5020204

Chicago/Turabian Style

Neugebauer, Ute, Christian Kurz, Thomas Bocklitz, Tina Berger, Thomas Velten, Joachim H. Clement, Christoph Krafft, and Jürgen Popp. 2014. "Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip" Micromachines 5, no. 2: 204-215. https://doi.org/10.3390/mi5020204

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