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10.3390/s17081914 http://scihub22266oqcxt.onion/10.3390/s17081914 C5579832!5579832!28825612     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sensors+(Basel) 2017 ; 17 (8): ä Nephropedia Template TP {{tp|p=28825612|t=2017. Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics |pdf=|usr=}}{{28825612}} gab.com Text Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=28825612 #FOAvip 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. Twit Text FOAVip Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=28825612 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28825612 #FOAvip English Wikipedia <ref>{{Cite pmid|28825612}}</ref> Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics #MMPMID28825612 Bogomolov A; Zabarylo U; Kirsanov D; Belikova V; Ageev V; Usenov I; Galyanin V; Minet O; Sakharova T; Danielyan G; Feliksberger E; Artyushenko V Sensors (Basel) 2017[Aug]; 17 (8): ä PMID28825612show ga 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. äDevelopment and Testing of an LED-Based Near-Infrared Sensor for Human(epmc).pdf DeepDyve Pubget Overpricing