Raman Spectroscopy to Characterize Bladder Tissue for Multidimensional Diagnostics of Cancer in Urology

Title data

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. Vol. 6 (2020) Issue 3 . - pp. 250-253.
ISSN 2364-5504
DOI: https://doi.org/10.1515/cdbme-2020-3063

Official URL:

Abstract in another language

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.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Raman spectroscopy; Raman imaging; endoscopy; cancer diagnosis; chemometric data analysis
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:	12 May 2023 06:58
Last Modified:	12 May 2023 06:58
URI:	https://eref.uni-bayreuth.de/id/eprint/76391