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A diagnostic fluorimeter has been developed to estimate in vivo the content of the advanced glycation endproducts in the human skin using autofluorescence. It consists of two light-emitting diodes and implements a pulse current source for the LEDs. The LED with a peak wavelength of 365 nm is used as excitation source. Green LED with is used to obtain the information about the patient's skin phototype. The analog electronics of the fluorimeter includes two photodetector channels using silicon photodiodes. Pulse modulation of LED light made it possible to reduce the influence of sunlight and illumination on a digital signal at the output of a 10-bit ADC to a level of less than least significant bit in both channels. The digital part of the fluorimeter is based on the Arduino platform. The software controls the operating modes of the fluorimeter, provides a quantitative processing of the results, visualizes and saves the diagnostic data. Experimental studies have demonstrated the operability of the device and its noise immunity, the ability to identify agerelated changes in the skin. Nevertheless, a significant contribution to the statistical spread of the values of the diagnostic parameter is made by uncontrolled changes in the diagnosed area of the skin on the inner side of the forearm when it detaches and again touches the entrance window of the fluorimeter. The accepted normalization of the autofluorescence signal to the product of elastic skin scattering signals from the ultraviolet and green light-emitting diodes allowed to reduce the variability of the diagnostic parameter due to sunburn by a factor of 1.5.
Dmitriy V. Kornilin,Vladimir N. Grishanov, andKonstantin V. Cherepanov
"Pulse excitation fluorescence meter for diagnostic purposes ", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 1068515 (17 May 2018); https://doi.org/10.1117/12.2306588
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Dmitriy V. Kornilin, Vladimir N. Grishanov, Konstantin V. Cherepanov, "Pulse excitation fluorescence meter for diagnostic purposes ," Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 1068515 (17 May 2018); https://doi.org/10.1117/12.2306588