bei Google ScholarTitelangaben
Bocklitz, Thomas ; Silge, Anja ; Bae, Hyeonsoo ; Rodewald, Marko ; Legesse, Fisseha Bekele ; Meyer, Tobias ; Popp, Jürgen:
Non-invasive Imaging Techniques : From Histology to In Vivo Imaging.
In: Schober, Otmar ; Kiessling, Fabian ; Debus, Jürgen
(Hrsg.):
Molecular Imaging in Oncology. -
Cham
: Springer
,
2020
. - S. 795-812
. - (Recent Results in Cancer Research
; 216
)
ISBN 978-3-030-42618-7
DOI: https://doi.org/10.1007/978-3-030-42618-7_25
Abstract
In this chapter, we will introduce and review molecular-sensitive imaging techniques, which close the gap between ex vivo and in vivo analysis. In detail, we will introduce spontaneous Raman spectral imaging, coherent anti-Stokes Raman scattering (CARS), stimulated Raman scattering (SRS), second-harmonic generation (SHG) and third-harmonic generation (THG), two-photon excited fluorescence (TPEF), and fluorescence lifetime imaging (FLIM). After reviewing these imaging techniques, we shortly introduce chemometric methods and machine learning techniques, which are needed to use these imaging techniques in diagnostic applications.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Non-invasive imaging; Raman spectral imaging; Coherent anti-Stokes Raman scattering (CARS); Stimulated Raman scattering (SRS); Second-harmonic generation (SHG); Third-harmonic generation (THG); Two-photon excited fluorescence (TPEF); Fluorescence lifetime imaging (FLIM); Machine learning; Chemometrics |
| 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: | 19 Mai 2023 10:30 |
| Letzte Änderung: | 19 Mai 2023 10:30 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76289 |