Next Article in Journal
Biomimetic Pieris rapae’s Nanostructure and Its Use as a Simple Sucrose Sensor
Next Article in Special Issue
High Resolution Cell Positioning Based on a Flow Reduction Mechanism for Enhancing Deformability Mapping
Previous Article in Journal
3-D Micro and Nano Technologies for Improvements in Electrochemical Power Devices
Previous Article in Special Issue
Mini and Micro Propulsion for Medical Swimmers
Micromachines 2014, 5(2), 204-215; doi:10.3390/mi5020204
Article

Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip

1,2
, 3
, 4
, 5
, 3
, 5
, 1
 and 1,2,4,*
Received: 11 December 2013; in revised form: 5 April 2014 / Accepted: 8 April 2014 / Published: 22 April 2014
(This article belongs to the collection Lab-on-a-Chip)
View Full-Text   |   Download PDF [405 KB, updated 24 April 2014; original version uploaded 22 April 2014]   |   Browse Figures
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.
Keywords: Raman spectroscopy; circulating tumor cells; cell identification; microhole array chip Raman spectroscopy; circulating tumor cells; cell identification; microhole array chip
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


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.

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.

Chicago/Turabian Style

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


Micromachines EISSN 2072-666X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert