Name
Title | ||
|---|---|---|
Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/s17081914 | SENSORS |
Keywords | Field | DocType |
tumor detection,kidney,fiber spectroscopy,optical sensor,near infrared,LED | Analytical chemistry,Fluorescence spectroscopy,Near-infrared spectroscopy,Optical sensing,Engineering,Spectroscopy,Raman spectroscopy,Principal component analysis,Photodiode | Journal |
Volume | Issue | ISSN |
17 | 8 | 1424-8220 |
Citations | PageRank | References |
1 | 0.63 | 2 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrey Bogomolov | 1 | 1 | 0.96 |
| Urszula Zabarylo | 2 | 1 | 0.96 |
| Dmitry D. Kirsanov | 3 | 2 | 2.67 |
| Valeria Belikova | 4 | 1 | 0.96 |
| Vladimir Ageev | 5 | 1 | 0.63 |
| Iskander Usenov | 6 | 1 | 1.30 |
| Vladislav Galyanin | 7 | 1 | 0.63 |
| Olaf Minet | 8 | 1 | 1.30 |
| Tatiana Sakharova | 9 | 1 | 0.63 |
| Georgy Danielyan | 10 | 1 | 0.63 |
| Elena Feliksberger | 11 | 1 | 0.96 |
| Andrey Bogomolov | 12 | 75 | 5.60 |