Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip

Title data

Neugebauer, Ute ; Kurz, Christian ; Bocklitz, Thomas ; Berger, Tina ; Velten, Thomas ; Clement, Joachim H. ; Krafft, Christoph ; Popp, Jürgen:
Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip.
In: Micromachines. Vol. 5 (2014) Issue 2 . - pp. 204-215.
ISSN 2072-666X
DOI: https://doi.org/10.3390/mi5020204

Official URL:

Abstract in another language

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.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Raman spectroscopy; circulating tumor cells; cell identification; microhole array chip
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT:	No
DDC Subjects:	500 Science > 530 Physics
Date Deposited:	15 May 2023 13:19
Last Modified:	15 May 2023 13:19
URI:	https://eref.uni-bayreuth.de/id/eprint/76350