Research output: Contribution to journal › Article › peer-review
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; Galyanin, Vladislav; Minet, Olaf; Sakharova, Tatiana; Danielyan, Georgy; Feliksberger, Elena; Artyushenko, Viacheslav.
In: Sensors (Switzerland), Vol. 17, No. 8, 1914, 19.08.2017.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Development and testing of an LED-based near-infrared sensor for human kidney tumor diagnostics
AU - Bogomolov, Andrey
AU - Zabarylo, Urszula
AU - Kirsanov, Dmitry
AU - Belikova, Valeria
AU - Ageev, Vladimir
AU - Usenov, Iskander
AU - Galyanin, Vladislav
AU - Minet, Olaf
AU - Sakharova, Tatiana
AU - Danielyan, Georgy
AU - Feliksberger, Elena
AU - Artyushenko, Viacheslav
PY - 2017/8/19
Y1 - 2017/8/19
N2 - Optical 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.
AB - Optical 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.
KW - Fiber spectroscopy
KW - Kidney
KW - LED
KW - Near infrared
KW - Optical sensor
KW - Tumor detection
UR - http://www.scopus.com/inward/record.url?scp=85028076031&partnerID=8YFLogxK
U2 - 10.3390/s17081914
DO - 10.3390/s17081914
M3 - Article
C2 - 28825612
AN - SCOPUS:85028076031
VL - 17
JO - Sensors
JF - Sensors
SN - 1424-3210
IS - 8
M1 - 1914
ER -
ID: 33795498