Dr. Dmitriy V. Kornilin Profile

Dr. Dmitriy V. Kornilin

Professor at Samara Univ

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Author

Publications (20)

Proceedings Article | 19 December 2022 Presentation + Paper

Investigating the sclera fluorescence in order to obtain AGE related diagnostic information

Dmitriy Kornilin, Vladimir Grishanov, Igor Malov

Proceedings Volume 12320, 123201A (2022) https://doi.org/10.1117/12.2644137

KEYWORDS: Skin, Sclera, Fluorescence, Diagnostics, Autofluorescence, Scattering, Tissues, Semiconductor lasers, Fluorescence intensity

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Proceedings Article | 10 October 2020 Poster + Paper

Estimation of the advanced glycation end products accumulated by sclera using autofluorescence

Vladimir Grishanov, Dmitriy Kornilin, Igor Malov, Georgiy Pleshakov

Proceedings Volume 11553, 115532Z (2020) https://doi.org/10.1117/12.2581897

KEYWORDS: Sclera, Skin, Ultraviolet radiation, Luminescence, Lamps, Cameras, Semiconductor lasers, Photodetectors, Light emitting diodes, Light

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Proceedings Article | 10 October 2020 Poster + Paper

Diminution of melanin influence on the level of skin autofluorescence utilized for the estimation of advanced glycation end products level using green LED

Vladimir Grishanov, Dmitriy Kornilin

Proceedings Volume 11553, 1155330 (2020) https://doi.org/10.1117/12.2581899

KEYWORDS: Green light emitting diodes, Ultraviolet radiation, Photodiodes, Diagnostics, Skin, Scattering, Optical filters, Luminescence, Light scattering, Light emitting diodes

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Proceedings Article | 22 July 2019 Paper

Two-channel portable fluorescence meter for risk stratification of cardiovascular diseases

Vladimir Grishanov, Dmitriy Kornilin, Petr Lebedev, Dmitry Kopaev, Darya Yu. Pimenova, Valeriy Zakharov

Proceedings Volume 11079, 110790D (2019) https://doi.org/10.1117/12.2526735

KEYWORDS: Skin, Luminescence, Photodiodes, Light emitting diodes, Glasses, Optical filters, Atrial fibrillation, Statistical analysis, Heart, Ultraviolet radiation

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Proceedings Article | 24 May 2018 Presentation

Analysis of human skin Raman and autofluorescence as predictors of chronic diseases (Conference Presentation)

Ivan Bratchenko, Lyudmila Shamina, Dmitry Artemyev, Oleg Myakinin, Yulia Khristoforova, Valery Zakharov, Dmitriy Kornilin, Vladimir Grishanov, Peter Lebedev, Larissa Rogozina, Daria Pimenova

Proceedings Volume 10685, 106850N (2018) https://doi.org/10.1117/12.2307313

KEYWORDS: Skin, Raman spectroscopy, Visible radiation, Near infrared, Kidney, Analytical research, Endocrine system, Cardiovascular system, Biochemistry, Molecular spectroscopy

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The state of internal human homeostasis, namely the function of the internal organs - the endocrine system, the digestive tract, the nervous, hematopoietic, cardiovascular and other systems, is closely related to the skin condition. Changes in the skin biochemistry are a reflection of the internal state of the human body. Therefore, the analysis of changes in the composition of human skin various layers is one of complex parts of therapeutic disciplines. In addition to the laboratory analysis methods used today, a variety of physical methods can be successfully used to study the component composition of the human skin. Methods of Raman Spectroscopy and autofluorescence analysis can detect changes in the component composition of the skin at the molecular level. In current study we used Raman spectroscopy and autofluorescence analysis in visible and NIR regions for the analysis of human skin spectral characteristics in the presence of various influencing factors including chronic kidney transplant dysfunction. The Raman and autofluorescence spectral characteristics of studied samples in NIR region were registered using the experimental setup, incorporated a high-resolution spectrometer with integrated cooled digital camera, a fiber-optic Raman probe and the laser module with central wavelength 785 nm. The autofluorescence human skin response in visible region was registered by portable diagnostic fluorimeter, which provide an excitation light source across the 350-400 nm range and measured light intensity within the 420-600 nm range. In this study we describe the design and results of the tests on volunteers of portable fluorescence meter based on two photodiodes. One channel of such fluorometer is used for measurement of autofluorescence intensity, another one - for intensity of elastically scattered radiation, which can be used as reference. The processing of experimental data was performed on the basis of regression analysis. We performed the comparative research of Raman experimental data and visible autofluorescence analysis results. We estimated correlations between Raman and autofluorescence signals and also find informative Raman bands that may be used as predictors of general condition of the body. These bands lie in 1170 – 1700 cm-1 region. We demonstrated the possibility to measure melanin and lipofuscin levels in the skin, as they are the hallmarks of skin aging; and demonstrated the possibility to measure a level of advanced glycation end products in the skin, advanced glycation end products as and lipofuscins are markers of general body condition. In addition, we have found informative spectral bands characterizing changes in the component composition of the skin in the presence of various influencing factors as kidney diseases.

Proceedings Article | 17 May 2018 Presentation + Paper

Pulse excitation fluorescence meter for diagnostic purposes

Dmitriy Kornilin, Vladimir Grishanov, Konstantin Cherepanov

Proceedings Volume 10685, 1068515 (2018) https://doi.org/10.1117/12.2306588

KEYWORDS: Skin, Diagnostics, Ultraviolet radiation, Scattering, Luminescence, Light emitting diodes, Photodiodes, Signal detection, Green light emitting diodes, Fluorescence spectroscopy

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Proceedings Article | 26 June 2017 Paper

Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor

Dmitriy Kornilin, Ilya Kudryavtsev, Alison McMillan, Ardeshir Osanlou, Ian Ratcliffe

Proceedings Volume 10329, 103294K (2017) https://doi.org/10.1117/12.2272059

KEYWORDS: Sensors, Velocity measurements, Statistical analysis, Particles, Photodiodes, Liquids, CMOS sensors, Error analysis, Aerospace engineering, Diagnostics, Reliability, Data processing, Image sensors

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Proceedings Article | 3 October 2016 Paper

Application of Raman spectroscopy method for analysis of biopolymer materials

Elena Timchenko, Pavel Timchenko, S. Volchkov, Alexsandra Mahortova, Anna Asadova, Dmitriy Kornilin

Proceedings Volume 9956, 995619 (2016) https://doi.org/10.1117/12.2237193

KEYWORDS: Raman spectroscopy, Imaging spectroscopy, Polymers, Iron, Biopolymers, Biological research, Biological research, Oxides, Remote sensing, Analytical research, Medical research

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Proceedings Article | 3 October 2016 Paper

Studies of cartilaginous tissue using Raman spectroscopy method

Pavel Timchenko, Elena Timchenko, Larisa Volova, Dmitry Dolgyshkin, Maria Markova, A. Kylabyhova, Dmitriy Kornilin

Proceedings Volume 9956, 995618 (2016) https://doi.org/10.1117/12.2237192

KEYWORDS: Tissue optics, Raman spectroscopy, Tissues, Cartilage, Bone, Natural surfaces, Carbonates, Surgery, X-rays, Magnetic resonance imaging

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Proceedings Article | 28 September 2016 Paper

Determination of particle sizes in hydraulic liquids based on image- and subpixel processing

Dmitriy Kornilin, Ilya Kudryavtsev, Alison McMillan, Ardeshir Osanlou, Ian Ratcliffe

Proceedings Volume 9971, 99712Q (2016) https://doi.org/10.1117/12.2237349

KEYWORDS: Particles, Image processing, Signal processing, Sensors, Liquids, CMOS sensors, Digital signal processing, Image sensors, Digital image processing, Diagnostics

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Proceedings Article | 26 September 2016 Paper

Portable fluorescence meter with reference backscattering channel

Dmitriy Kornilin, Vladimir Grishanov, Valery Zakharov, Dmitriy Burkov

Proceedings Volume 9961, 99610C (2016) https://doi.org/10.1117/12.2237135

KEYWORDS: Luminescence, Backscatter, Photodiodes, Atrial fibrillation, Diagnostics, Light emitting diodes, Optical filters, Skin, Glasses, Metals

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Proceedings Article | 19 September 2016 Paper

Experimental studies of influence of oil on the plants' optical characteristics

Elena Timchenko, Pavel Timchenko, Nikolay Tregub, Ekaterina Selezneva, Dmitriy Kornilin

Proceedings Volume 9975, 99750T (2016) https://doi.org/10.1117/12.2237185

KEYWORDS: Raman spectroscopy, Bromine, Carbon, Methane, Agriculture, Tissues, Analytical research, Vegetable oil, Error analysis, Biomedical optics

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Proceedings Article | 19 September 2016 Paper

Assessment of spectral characteristics of rodents in conditions of effect of heavy metals

Elena Timchenko, Pavel Timchenko, Sergey Simak, Ekaterina Selezneva, Asel Kadayb, Dmitriy Kornilin

Proceedings Volume 9975, 99750Q (2016) https://doi.org/10.1117/12.2236234

KEYWORDS: Tissues, Bone, Metals, Raman spectroscopy, Organisms, Tissue optics, Lead, Pollution, Copper, Manganese

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Proceedings Article | 27 April 2016 Paper

Skin cancer texture analysis of OCT images based on Haralick, fractal dimension and the complex directional field features

Dmitry Raupov, Oleg Myakinin, Ivan Bratchenko, Dmitry Kornilin, Valery Zakharov, Alexander Khramov

Proceedings Volume 9887, 98873F (2016) https://doi.org/10.1117/12.2227896

KEYWORDS: Speckle, Tissue optics, Optical coherence tomography, Tissues, Fractal analysis, Skin cancer, Melanoma, Imaging systems, Image analysis, Tumors, Skin, Denoising

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Proceedings Article | 27 April 2016 Paper

Portable fluorescence meter for medical applications

Dmitriy Kornilin, Vladimir Grishanov

Proceedings Volume 9887, 98871N (2016) https://doi.org/10.1117/12.2227392

KEYWORDS: Atrial fibrillation, Luminescence, In vivo imaging, Glasses, Metals, Analog electronics

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Proceedings Article | 9 July 2015 Open Access

Investigation of changes in fractal dimension from layered retinal structures of healthy and diabetic eyes with optical coherence tomography

Wei Gao, Valery Zakharov, Oleg Myakinin, Ivan Bratchenko, Dmitry Artemyev, Dmitry Kornilin

Proceedings Volume 9541, 95411I (2015) https://doi.org/10.1117/12.2185222

KEYWORDS: Fractal analysis, Optical coherence tomography, Coherence imaging, Scattering media, Biomedical optics, Aerospace engineering, Current controlled current source, Contact lenses

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SPIE Journal Paper | 4 February 2015 Open Access

Comparative analysis of combined spectral and optical tomography methods for detection of skin and lung cancers

Valery Zakharov, Ivan Bratchenko, Dmitry Artemyev, Oleg Myakinin, Dmitry Kornilin, Sergey Kozlov, Alexander Moryatov

JBO, Vol. 20, Issue 02, 025003, (February 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.2.025003

KEYWORDS: Tumors, Optical coherence tomography, Remote sensing, Tissues, Skin, Raman spectroscopy, Melanoma, Cancer, Lung, Skin cancer

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Proceedings Article | 23 September 2014 Paper

The Empirical Mode Decomposition algorithm via Fast Fourier Transform

Oleg Myakinin, Valery Zakharov, Ivan Bratchenko, Dmitry Kornilin, Dmitry Artemyev, Alexander Khramov

Proceedings Volume 9217, 921721 (2014) https://doi.org/10.1117/12.2061808

KEYWORDS: Fourier transforms, Optical coherence tomography, Signal processing, Nonlinear optics, Wavelet transforms, Analog electronics, Denoising, Signal analysis, Discrete wavelet transforms, Time-frequency analysis

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Proceedings Article | 8 May 2014 Paper

Advances in tumor diagnosis using OCT and Raman spectroscopy

V. Zakharov, I. Bratchenko, S. Kozlov, A. Moryatov, D. Kornilin, O. Myakinin, D. Artemyev

Proceedings Volume 9129, 91290L (2014) https://doi.org/10.1117/12.2052145

KEYWORDS: Tumors, Tissues, Optical coherence tomography, Skin, Raman spectroscopy, Remote sensing, Lung, Melanoma, Cancer, Tissue optics

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Proceedings Article | 8 May 2014 Paper

A complex noise reduction method for improving visualization of SD-OCT skin biomedical images

Oleg Myakinin, Valery Zakharov, Ivan Bratchenko, Dmitry Kornilin, Alexander Khramov

Proceedings Volume 9129, 91292Y (2014) https://doi.org/10.1117/12.2051977

KEYWORDS: Optical coherence tomography, Denoising, Visualization, Signal to noise ratio, Skin, Biomedical optics, Linear filtering, CCD cameras, Tissues, Charge-coupled devices

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