at Google ScholarTitle data
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.
Vol. 56
(2017)
Issue 16
.
- pp. 4392-4430.
ISSN 1521-3773
DOI: https://doi.org/10.1002/anie.201607604
Abstract in another language
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.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | Raman spectroscopy; coherent Raman scattering; surface enhanced Raman scattering; resonance Raman scattering; fiber probes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 530 Physics |
| Date Deposited: | 16 May 2023 12:05 |
| Last Modified: | 16 May 2023 12:05 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76335 |