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Bocklitz, Thomas ; Bräutigam, Katharina ; Urbanek, Annett ; Hoffmann, Franziska ; von Eggeling, Ferdinand ; Ernst, Günther ; Schmitt, Michael ; Schubert, Ulrich ; Guntinas-Lichius, Orlando ; Popp, Jürgen:
Novel workflow for combining Raman-spectroscopy and MALDI-MSI for tissue based studies.
In: Analytical and Bioanalytical Chemistry.
Bd. 407
(2015)
Heft 26
.
- S. 7865-7873.
ISSN 1618-2650
DOI: https://doi.org/10.1007/s00216-015-8987-5
Abstract
Molecular heterogeneity of cancer is a major obstacle in tumor diagnosis and treatment. To deal with this heterogeneity, a multidisciplinary combination of different analysis techniques is of urgent need because a combination enables the creation of a multimodal image of a tumor. Here, we develop a computational workflow in order to combine matrix-assisted laser desorption/ionization mass spectrometric (MALDI-MS) imaging and Raman microspectroscopic imaging for tissue based studies. The computational workflow can be used to confirm a spectral histopathology (SHP) based on one technique with another technique. In this contribution, we confirmed a Raman spectroscopic based SHP with MALDI-imaging. Owing to this combination, we could demonstrate, for a larynx carcinoma sample, that tissue types and different metabolic states could be extracted from the Raman spectra. Further investigations with the help of MALDI spectra yield a better characterization of variable epithelial differentiation and a better understanding of ongoing dysplastic alterations.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 530 Physik |
| Eingestellt am: | 22 Mai 2023 09:08 |
| Letzte Änderung: | 22 Mai 2023 09:08 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76281 |