Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images

[Image: see text] 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 m...

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Autores principales: Klein, Katharina, Maier, Timo, Hirschfeld-Warneken, Vera C., Spatz, Joachim P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2013
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831548/
https://www.ncbi.nlm.nih.gov/pubmed/24079895
http://dx.doi.org/10.1021/nl4030402
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author Klein, Katharina
Maier, Timo
Hirschfeld-Warneken, Vera C.
Spatz, Joachim P.
author_facet Klein, Katharina
Maier, Timo
Hirschfeld-Warneken, Vera C.
Spatz, Joachim P.
author_sort Klein, Katharina
collection PubMed
description [Image: see text] 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.
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spelling pubmed-38315482013-11-19 Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images Klein, Katharina Maier, Timo Hirschfeld-Warneken, Vera C. Spatz, Joachim P. Nano Lett [Image: see text] 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. American Chemical Society 2013-09-30 2013-11-13 /pmc/articles/PMC3831548/ /pubmed/24079895 http://dx.doi.org/10.1021/nl4030402 Text en Copyright © 2013 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Klein, Katharina
Maier, Timo
Hirschfeld-Warneken, Vera C.
Spatz, Joachim P.
Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images
title Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images
title_full Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images
title_fullStr Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images
title_full_unstemmed Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images
title_short Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images
title_sort marker-free phenotyping of tumor cells by fractal analysis of reflection interference contrast microscopy images
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831548/
https://www.ncbi.nlm.nih.gov/pubmed/24079895
http://dx.doi.org/10.1021/nl4030402
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AT hirschfeldwarnekenverac markerfreephenotypingoftumorcellsbyfractalanalysisofreflectioninterferencecontrastmicroscopyimages
AT spatzjoachimp markerfreephenotypingoftumorcellsbyfractalanalysisofreflectioninterferencecontrastmicroscopyimages

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