Dr. Yulia A. Khristoforova Profile

Dr. Yulia A. Khristoforova

Research Associate at Samara Univ

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Publications (16)

Proceedings Article | 27 May 2022 Poster + Paper

Analysis of Raman spectra using the multivariate curve resolution-alternating least squares (MCR-ALS) algorithm

Irina Matveeva, Yulia Khristoforova, Lyudmila Bratchenko, Valery Zakharov

Proceedings Volume 12144, 121440M (2022) https://doi.org/10.1117/12.2620966

KEYWORDS: Raman spectroscopy, Skin, Proteins, Tissues, In vivo imaging, Biological research, Melanoma, Chemical analysis, Collagen, Analytical research

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Proceedings Article | 7 December 2021 Paper

Detection of amelanotic melanoma on the basis of NIR autofluorescence features

Y. Khristoforova, I. Bratchenko, L. Bratchenko, A. Moryatov, S. Kozlov, V. Zakharov

Proceedings Volume 11919, 119190L (2021) https://doi.org/10.1117/12.2614477

KEYWORDS: Tumors, Skin, Raman spectroscopy, Near infrared, Melanoma, Luminescence, Spectroscopy, In vivo imaging, Ocean optics, Tissues

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Proceedings Article | 17 November 2020 Paper

Optical biopsy of skin cancer based on Raman and fluorescence spectroscopy

Yulia Khristoforova, Ivan Bratchenko, Lyudmila Bratchenko, Oleg Myakinin, Dmitry Artemyev, Alexandr Moryatov, Sergey Kozlov, Ekaterina Borisova, Tsanislava Genova, Petranka Troyanova, Valery Zakharov

Proceedings Volume 11582, 115821K (2020) https://doi.org/10.1117/12.2581594

KEYWORDS: Raman spectroscopy, Skin, Tumors, Skin cancer, Tissues, Tissue optics, Cancer, Spectroscopy

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Proceedings Article | 17 November 2020 Paper

Possibilities for decomposing Raman spectra of amino acids mixture by Multivariate Curve Resolution (MCR) analysis

Irina Matveeva, Oleg Myakinin, Yulia Khristoforova, Ivan Bratchenko, Elena Tupikova, Valery Zakharov

Proceedings Volume 11582, 115821G (2020) https://doi.org/10.1117/12.2581559

KEYWORDS: Raman spectroscopy, Lung cancer, Signal to noise ratio, Plasma, Cancer, Analytical research, Spectroscopy, Semiconductor lasers, Proteins

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Proceedings Article | 28 October 2020 Paper

Multispectral fluorescence detection of pigmented cutaneous tumours

Ekaterina Borisova, Tsanislava Genova, Victoria Mircheva, Petranka Troyanova, Ivan Bratchenko, Lyudmila Bratchenko, Yulia Khristoforova, Valery Zakharov, Ilze Lihacova, Aleksejs Lihacovs, Janis Spigulis

Proceedings Volume 11585, 1158504 (2020) https://doi.org/10.1117/12.2581967

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Proceedings Article | 2 April 2020 Presentation + Paper

Multiparametric spectral diagnosis of skin cancer

Valery Zakharov, Lyudmila Bratchenko, Yulia Khristoforova, Oleg Myakinin, Dmitry Artemyev, Alexander Moryatov, Sergey Kozlov, Ekaterina Borisova, Tsanislava Genova, Petranka Troyanova, Ivan Bratchenko

Proceedings Volume 11363, 1136310 (2020) https://doi.org/10.1117/12.2555306

KEYWORDS: Skin, Tumors, Skin cancer, Raman spectroscopy, Tumor growth modeling, Tissues, Remote sensing, Statistical analysis, In vivo imaging, Spectroscopy

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Proceedings Article | 2 April 2020 Presentation + Paper

Additive simulation of Raman light scattering from skin cancer using the Monte Carlo method

Irina Matveeva, Oleg Myakinin, Yulia Khristoforova, Ivan Bratchenko, Alexander Moryatov, Sergey Kozlov, Valery Zakharov

Proceedings Volume 11363, 113631O (2020) https://doi.org/10.1117/12.2554904

KEYWORDS: Skin, Raman spectroscopy, Monte Carlo methods, Tissue optics, Light scattering, Raman scattering, Tissues, Skin cancer

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SPIE Journal Paper | 14 January 2020

Near-infrared autofluorescence spectroscopy of pigmented benign and malignant skin lesions

Ekaterina Borisova, Ivan Bratchenko, Yulia Khristoforova, Lyudmila Bratchenko, Tsanislava Genova, Alexander Gisbrecht, Alexander Moryatov, Sergey Kozlov, Petranka Troyanova, Valery Zakharov

OE, Vol. 59, Issue 06, 061616, (January 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.6.061616

KEYWORDS: Skin, Tissues, Melanoma, Spectroscopy, In vivo imaging, Near infrared, Tumors, Luminescence, Near infrared spectroscopy, Diagnostics

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Proceedings Article | 3 September 2018 Paper

In vivo NIR Raman and autofluorescence spectroscopies of skin neoplasms

Yulia Khristoforova, Ivan Bratchenko, Oleg Myakinin, Dmitry Artemyev, Alexander Moryatov, Oleg Kaganov, Sergey Kozlov, Andrey Orlov, Valery Zakharov

Proceedings Volume 10753, 1075314 (2018) https://doi.org/10.1117/12.2320483

KEYWORDS: Skin, Raman spectroscopy, Tumors, Melanoma, Near infrared, Spectroscopy

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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.

SPIE Journal Paper | 16 February 2017 Open Access

Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near-infrared and visible regions

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

JBO, Vol. 22, Issue 02, 027005, (February 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.2.027005

KEYWORDS: Remote sensing, Skin, Atrial fibrillation, Near infrared, Tissues, Tumors, Raman spectroscopy, Diagnostics, Cancer, Skin cancer

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Proceedings Article | 28 April 2016 Paper

Blood proteins analysis by Raman spectroscopy method

D. Artemyev, I. Bratchenko, Yu. Khristoforova, A. Lykina, O. Myakinin, T. Kuzmina, I. Davydkin, V. Zakharov

Proceedings Volume 9887, 98871Y (2016) https://doi.org/10.1117/12.2227906

KEYWORDS: Blood, Raman spectroscopy, Proteins, Plasma, Principal component analysis, Statistical analysis, Digital cameras, Biomedical optics, Medical diagnostics, Blood, Calibration, Remote sensing, Raman scattering, Semiconductor lasers, Laser scattering, Laser therapeutics

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Proceedings Article | 27 April 2016 Paper

Comparison of Raman spectroscopy equipment for tissues and biofluids analysis

Yu. Khristoforova, I. Bratchenko, O. Myakinin, D. Artemyev, V. Zakharov

Proceedings Volume 9887, 98873E (2016) https://doi.org/10.1117/12.2227878

KEYWORDS: Spectrographs, Diagnostics, Skin, Raman spectroscopy, Tissues, Biological research, Principal component analysis, Spectroscopy, Skin cancer, Semiconductor lasers, Blood, Proteins, Quantum efficiency, Spectrometers, Spectroscopes, Signal detection

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Proceedings Article | 27 April 2016 Paper

Fluorescence spectroscopy for neoplasms control

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

Proceedings Volume 9887, 98870Y (2016) https://doi.org/10.1117/12.2227610

KEYWORDS: Tissues, Visible radiation, Near infrared, Spectroscopy, Melanoma, Chemical analysis, Skin, Fluorescence spectroscopy, Cancer, Atrial fibrillation, Tumors, Analytical research, Raman spectroscopy, Luminescence

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Proceedings Article | 15 July 2015 Paper

Combined autofluorescence and Raman spectroscopy method for skin tumor detection in visible and near infrared regions

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

Proceedings Volume 9537, 95372H (2015) https://doi.org/10.1117/12.2186095

KEYWORDS: Raman spectroscopy, Atrial fibrillation, Tissues, Skin, Tumors, Near infrared, Visible radiation, Remote sensing, Melanoma, Skin cancer

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Proceedings Article | 5 September 2014 Paper

Combined Raman spectroscopy and autofluoresence imaging method for in vivo skin tumor diagnosis

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

Proceedings Volume 9198, 919804 (2014) https://doi.org/10.1117/12.2061667

KEYWORDS: Skin, Tumors, Raman spectroscopy, Atrial fibrillation, In vivo imaging, Tissues, Melanoma, Remote sensing, Imaging spectroscopy, Skin cancer

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Showing 5 of 16 publications

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