Micromachines 2014, 5(2), 204-215; https://doi.org/10.3390/mi5020204
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.
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)
Abstract
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
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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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.
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