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Journal of Medical Imaging • Open Access

Cancer cell classification with coherent diffraction imaging using an extreme ultraviolet radiation source
Author(s): Michael Zürch; Stefan Foertsch; Mark Matzas; Katharina Pachmann; Rainer Kuth; Christian Spielmann

Paper Abstract

In cancer treatment, it is highly desirable to classify single cancer cells in real time. The standard method is polymerase chain reaction requiring a substantial amount of resources and time. Here, we present an innovative approach for rapidly classifying different cell types: we measure the diffraction pattern of a single cell illuminated with coherent extreme ultraviolet (XUV) laser-generated radiation. These patterns allow distinguishing different breast cancer cell types in a subsequent step. Moreover, the morphology of the object can be retrieved from the diffraction pattern with submicron resolution. In a proof-of-principle experiment, we prepared single MCF7 and SKBR3 breast cancer cells on gold-coated silica slides. The output of a laser-driven XUV light source is focused onto a single unstained and unlabeled cancer cell. With the resulting diffraction pattern, we could clearly identify the different cell types. With an improved setup, it will not only be feasible to classify circulating tumor cells with a high throughput, but also to identify smaller objects such as bacteria or even viruses.

Paper Details

Date Published: 3 October 2014
PDF: 6 pages
J. Med. Img. 1(3) 031008 doi: 10.1117/1.JMI.1.3.031008
Published in: Journal of Medical Imaging Volume 1, Issue 3
Show Author Affiliations
Michael Zürch, Friedrich-Schiller-Univ. Jena (Germany)
Stefan Foertsch, Siemens AG (Germany)
Mark Matzas, Siemens AG (Germany)
Katharina Pachmann, Universitätsklinikum Jena (Germany)
Rainer Kuth, Siemens AG (Germany)
Christian Spielmann, Friedrich-Schiller-Univ. Jena (Germany)


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