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Journal Article

Marker-free phenotyping of tumor cells by fractal analysis of reflection interference contrast microscopy images

MPS-Authors
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Klein,  Katharina
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;
Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg, 69120 Heidelberg, Germany;

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Maier,  Timo
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;
Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg, 69120 Heidelberg, Germany;

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Spatz,  Joachim P.
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;
Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg, 69120 Heidelberg, Germany;

External Resource

http://pubs.acs.org/doi/pdf/10.1021/nl4030402
(Any fulltext)

https://dx.doi.org/10.1021/nl4030402
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http://pubs.acs.org/doi/suppl/10.1021/nl4030402
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Citation

Klein, K., Maier, T., Hirschfeld-Warneken, V. C., & Spatz, J. P. (2013). Marker-free phenotyping of tumor cells by fractal analysis of reflection interference contrast microscopy images. Nano Letters, 13(11), 5474-5479. doi:10.1021/nl4030402.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0015-100B-7
Abstract
Phenotyping of tumor cells by marker-free quantification is important for cancer diagnostics. For the first time, fractal analysis of reflection interference contrast microscopy images of single living cells was employed as a new method to distinguish between different nanoscopic membrane features of tumor cells. Since tumor progression correlates with a higher degree of chaos within the cell, it can be quantified mathematically by fractality. Our results show a high accuracy in identifying malignant cells with a failure chance of 3%, which is far better than today's applied methods.