Raman-Spectroscopy Based Cell Identification on a Microhole Array 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...

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Bibliographic Details
Published in:Micromachines
Main Authors: Ute Neugebauer, Christian Kurz, Thomas Bocklitz, Tina Berger, Thomas Velten, Joachim H. Clement, Christoph Krafft, Jürgen Popp
Format: Article
Language:English
Published: MDPI AG 2014-04-01
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Online Access:http://www.mdpi.com/2072-666X/5/2/204
Description
Summary: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.
ISSN:2072-666X