bei Google ScholarTitelangaben
Krafft, Christoph ; Schmitt, Michael ; Schie, Iwan W. ; Cialla-May, Dana ; Matthäus, Christian ; Bocklitz, Thomas ; Popp, Jürgen:
Label-Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches.
In: Angewandte Chemie International Edition.
Bd. 56
(2017)
Heft 16
.
- S. 4392-4430.
ISSN 1521-3773
DOI: https://doi.org/10.1002/anie.201607604
Abstract
Raman spectroscopy is an emerging technique in bioanalysis and imaging of biomaterials owing to its unique capability of generating spectroscopic fingerprints. Imaging cells and tissues by Raman microspectroscopy represents a nondestructive and label-free approach. All components of cells or tissues contribute to the Raman signals, giving rise to complex spectral signatures. Resonance Raman scattering and surface-enhanced Raman scattering can be used to enhance the signals and reduce the spectral complexity. Raman-active labels can be introduced to increase specificity and multimodality. In addition, nonlinear coherent Raman scattering methods offer higher sensitivities, which enable the rapid imaging of larger sampling areas. Finally, fiber-based imaging techniques pave the way towards in vivo applications of Raman spectroscopy. This Review summarizes the basic principles behind medical Raman imaging and its progress since 2012.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Raman spectroscopy; coherent Raman scattering; surface enhanced Raman scattering; resonance Raman scattering; fiber probes |
| 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: | 16 Mai 2023 12:05 |
| Letzte Änderung: | 16 Mai 2023 12:05 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76335 |