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3 October 2014 Cancer cell classification with coherent diffraction imaging using an extreme ultraviolet radiation source
Michael Zürch, Stefan Foertsch, Mark Matzas, Katharina Pachmann, Rainer Kuth, Christian Spielmann
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Journal of Medical Imaging, Vol. 1, Issue 3, 031008 (October 2014). https://doi.org/10.1117/1.JMI.1.3.031008
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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Michael Zürch, Stefan Foertsch, Mark Matzas, Katharina Pachmann, Rainer Kuth, and Christian Spielmann "Cancer cell classification with coherent diffraction imaging using an extreme ultraviolet radiation source," Journal of Medical Imaging 1(3), 031008 (3 October 2014). https://doi.org/10.1117/1.JMI.1.3.031008
Published: 3 October 2014
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Cited by 13 scholarly publications.
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KEYWORDS
Diffraction
Extreme ultraviolet
Cancer
Breast cancer
Coherence imaging
Ultraviolet radiation
Crystals
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