Titelangaben
Krafft, Christoph ; Guo, Shuxia ; Bocklitz, Thomas ; Bronsert, Peter ; Miernik, Arkadiusz ; Popp, Jürgen:
Raman Spectroscopy to Characterize Bladder Tissue for Multidimensional Diagnostics of Cancer in Urology.
In: Current Directions in Biomedical Engineering.
Bd. 6
(2020)
Heft 3
.
- S. 250-253.
ISSN 2364-5504
DOI: https://doi.org/10.1515/cdbme-2020-3063
Abstract
Fiber optic Raman spectroscopy offers label-free identification of cancer in the bladder under in vivo conditions. However, state-of-the-art Raman technology does not enable to scan the entire bladder wall. Our multidimensional approach within the project Uro-MDD combines panoramic 3D-image reconstruction of white light cystoscopy and fluorescence lifetime imaging to define regions of interest for Raman-assisted diagnos-tics. First Raman results are presented from human control and cancer bladder specimens that demonstrat-ed how to obtain specific molecular information. Such Raman images can be used in a clinical setting to de-termine cancer margins and the resection status. Fiber probes are under development to translate the tech-nique to in vivo screening.
Weitere Angaben
Publikationsform: | Artikel in einer Zeitschrift |
---|---|
Begutachteter Beitrag: | Ja |
Keywords: | Raman spectroscopy; Raman imaging; endoscopy; cancer diagnosis; chemometric data analysis |
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: | 12 Mai 2023 06:58 |
Letzte Änderung: | 12 Mai 2023 06:58 |
URI: | https://eref.uni-bayreuth.de/id/eprint/76391 |