Objekt-Metadaten

Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics
Bogomolov, Andrey ;  Zabarylo, Urszula ;  Kirsanov, Dmitry ;  Belikova, Valeria ;  Ageev, Vladimir ;  Usenov, Iskander ;  Minet, Olaf [u.a.]

HaupttitelDevelopment and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics
AutorBogomolov, Andrey
AutorZabarylo, Urszula
AutorKirsanov, Dmitry
AutorBelikova, Valeria
AutorAgeev, Vladimir
AutorUsenov, Iskander
AutorMinet, Olaf [u.a.]
Seitenzahl17 S.
Freie Schlagwörtertumor detection; kidney; fiber spectroscopy; optical sensor; near infrared; LED
DDC610 Medizin und Gesundheit
Auch erschienen inSensors. - 17 (2017), 8, Artike Nr. 1914
ZusammenfassungOptical spectroscopy is increasingly used for cancer diagnostics. Tumor detection feasibility in human kidney samples using mid- and near-infrared (NIR) spectroscopy, fluorescence spectroscopy, and Raman spectroscopy has been reported (Artyushenko et al., Spectral fiber sensors for cancer diagnostics in vitro. In Proceedings of the European Conference on Biomedical Optics, Munich, Germany, 21–25 June 2015). In the present work, a simplification of the NIR spectroscopic analysis for cancer diagnostics was studied. The conventional high-resolution NIR spectroscopic method of kidney tumor diagnostics was replaced by a compact optical sensing device constructively represented by a set of four light-emitting diodes (LEDs) at selected wavelengths and one detecting photodiode. Two sensor prototypes were tested using 14 in vitro clinical samples of 7 different patients. Statistical data evaluation using principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) confirmed the general applicability of the LED-based sensing approach to kidney tumor detection. An additional validation of the results was performed by means of sample permutation. View Full-Text
Dokumente
PDF-Datei von FUDOCS_document_000000028326
Falls Ihr Browser eine Datei nicht öffnen kann, die Datei zuerst herunterladen und dann öffnen.
 
Fachbereich/EinrichtungMedizinische Fakultät Charité - Universitätsmedizin Berlin
Erscheinungsjahr2017
Dokumententyp/-SammlungenWissenschaftlicher Artikel
SpracheEnglisch
RechteCreative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Anmerkungen des AutorsDer Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
Erstellt am17.10.2017 - 11:29:37
Letzte Änderung17.10.2017 - 11:30:24
 
Statische URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000028326
DOI10.3390/s17081914
Zugriffsstatistik
 

LOADING...