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Raman-spectroscopy based cell identification on a microhole array chip

 
: Neugebauer, U.; Kurz, C.; Bocklitz, T.; Berger, T.; Velten, T.; Clement, J.H.; Krafft, C.; Popp, J.

:
Postprint (405 KByte; PDF; )

Micromachines 5 (2014), Nr.2, S.204-215
ISSN: 2072-666X
European Commission EC
CN 611682; HemoSpec
Bundesministerium für Bildung und Forschung BMBF
13N12685
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IBMT ()

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.

: http://publica.fraunhofer.de/dokumente/N-300370.html