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Proceedings Paper

Non-linear multimodal imaging for disease diagnostics and treatment monitoring
Author(s): Thomas Bocklitz; Michael Schmitt; Aleksandar Lukić; Sandro Heuke; Olga Chernavskaia; Tobias Meyer; Jürgen Popp
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Paper Abstract

Molecular imaging modalities, like multimodal imaging, e.g. the combination of coherent-anti-Stokes Raman scattering (CARS), second-harmonic generation (SHG) and two-photon-excited fluorescence (TPEF), feature a unique potential for disease diagnostics and treatment monitoring. In order to use the full potential of multi-modal imaging for diagnostic tasks powerful image analysis methods are necessary, which translate the physical measurements into medical meaningful information. This translation process requires standardization, correction procedures and statistical models like regression or classification models. With the help of these techniques medical relevant information can be extracted and used for the diagnostics of cancer or inflammation related diseases.

Paper Details

Date Published: 29 April 2017
PDF: 7 pages
Proc. SPIE 10340, International Conference on Biophotonics V, 103400F (29 April 2017); doi: 10.1117/12.2275361
Show Author Affiliations
Thomas Bocklitz, Friedrich-Schiller-Univ. Jena (Germany)
Leibniz Institute of Photonic Technology (Germany)
Michael Schmitt, Friedrich-Schiller-Univ. Jena (Germany)
Aleksandar Lukić, Leibniz Institute of Photonic Technology (Germany)
Sandro Heuke, Leibniz Institute of Photonic Technology (Germany)
Olga Chernavskaia, Leibniz Institute of Photonic Technology (Germany)
Tobias Meyer, Leibniz Institute of Photonic Technology (Germany)
Jürgen Popp, Friedrich-Schiller-Univ. Jena (Germany)
Leibniz Institute of Photonic Technology (Germany)


Published in SPIE Proceedings Vol. 10340:
International Conference on Biophotonics V
David D. Sampson; Dennis L. Matthews; Jürgen Popp; Halina Rubinsztein-Dunlop; Brian C. Wilson, Editor(s)

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