Immunohistochemistry, histopathology and infrared spectral histopathology of colon cancer tissue sections

Authors

  • Angela Kallenbach-Thieltges,

    1. Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, Gebäude ND/04 Nord, 44780 Bochum, Germany
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    • Both authors contributed equally to this work.

  • Frederik Großerüschkamp,

    1. Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, Gebäude ND/04 Nord, 44780 Bochum, Germany
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    • Both authors contributed equally to this work.

  • Axel Mosig,

    1. Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, Gebäude ND/04 Nord, 44780 Bochum, Germany
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  • Max Diem,

    1. Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, Gebäude ND/04 Nord, 44780 Bochum, Germany
    2. Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
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  • Andrea Tannapfel,

    1. Department of Pathology of the Bergmann's Heil Hospital, Ruhr University Bochum, Germany
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  • Klaus Gerwert

    Corresponding author
    1. Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, Gebäude ND/04 Nord, 44780 Bochum, Germany
    • Tel.: +49-(0)234-3224461, Fax: +49-(0)234-3214238
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Abstract

During the past years, many studies have shown that infrared spectral histopathology (SHP) can distinguish different tissue types and disease types independently of morphological criteria. In this manuscript, we report a comparison of immunohistochemical (IHC), histopathological and spectral histopathological results for colon cancer tissue sections. A supervised algorithm, based on the “random forest” methodology, was trained using classical histopathology, and used to automatically identify colon tissue types, and areas of colon adenocarcinoma. The SHP images subsequently were compared to IHC-based images. This comparison revealed excellent agreement between the methods, and demonstrated that label-free SHP detects compositional changes in tissue that are the basis of the sensitivity of IHC. (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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