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Journal of Biomedical Optics • Open Access

Classification of inflammatory bowel diseases by means of Raman spectroscopic imaging of epithelium cells
Author(s): Christiane Bielecki; Claudio Marquardt; Andreas Stallmach; Thomas Bocklitz; Michael Schmitt; Jürgen Popp; Christoph Krafft; Akram Gharbi; Thomas Knosel

Paper Abstract

We report on a Raman microspectroscopic characterization of the inflammatory bowel diseases (IBD) Crohn's disease (CD) and ulcerative colitis (UC). Therefore, Raman maps of human colon tissue sections were analyzed by utilizing innovative chemometric approaches. First, support vector machines were applied to highlight the tissue morphology ( = Raman spectroscopic histopathology). In a second step, the biochemical tissue composition has been studied by analyzing the epithelium Raman spectra of sections of healthy control subjects (n = 11), subjects with CD (n = 14), and subjects with UC (n = 13). These three groups exhibit significantly different molecular specific Raman signatures, allowing establishment of a classifier (support-vector-machine). By utilizing this classifier it was possible to separate between healthy control patients, patients with CD, and patients with UC with an accuracy of 98.90%. The automatic design of both classification steps (visualization of the tissue morphology and molecular classification of IBD) paves the way for an objective clinical diagnosis of IBD by means of Raman spectroscopy in combination with chemometric approaches.

Paper Details

Date Published: 25 July 2012
PDF: 9 pages
J. Biomed. Opt. 17(7) 076030 doi: 10.1117/1.JBO.17.7.076030
Published in: Journal of Biomedical Optics Volume 17, Issue 7
Show Author Affiliations
Christiane Bielecki, Friedrich-Schiller-Univ. Jena (Germany)
Claudio Marquardt, Friedrich-Schiller-Univ. Jena (Germany)
Andreas Stallmach, Friedrich-Schiller-Univ. Jena (Germany)
Thomas Bocklitz, Friedrich-Schiller-Univ. Jena (Germany)
Michael Schmitt, Friedrich-Schiller-Univ. Jena (Germany)
Jürgen Popp, Friedrich-Schiller-Univ. Jena (Germany)
Christoph Krafft, Institut für Photonische Technologien e.V. (Germany)
Akram Gharbi, Universitätsklinikum Jena (Germany)
Thomas Knosel, Universitätsklinikum Jena (Germany)

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