The preliminary study of diabetic retinopathy detection based on intensity parameters with optical coherence tomography angiography

In this study, the diagnostic abilities of intensity parameters of optical coherence tomography angiography (OCTA) images in the early detection of diabetic retinopathy (DR) were determined. 78 normal healthy eyes, 10 diabetic eyes with mild non-proliferative diabetic retinopathy (NPDR), and 10 diabetic eyes with moderate NPDR were employed. Four retinal vascular plexuses were generated by using OCTA, which included the nerve fiber layer vascular plexus (NFLVP), superficial vascular plexus (SVP), intermediate capillary plexus (ICP) and deep capillary plexus (DCP). The parafoveal zone in each OCTA image was divided into four sectors which were the superior, temporal, inferior, and nasal sectors. Five intensity parameters including the mean, median, variance, skewness, and kurtosis of intensities were calculated for each sector. The factor of aging was evaluated among normal healthy subgroups. The diagnostic abilities of intensity parameters were evaluated between normal healthy subjects and diabetic patients with DR. Our results showed that the variance of intensities in superior sector in ICP achieved the highest AUROC value of 0.95 with the sensitivity of 0.87 and the specificity of 1.000 when comparing the diabetic patients with the mild NPDR to normal healthy subjects. The mean intensity in superior sector in ICP achieved the second highest AUROC value of 0.95 with the sensitivity of 0.90 and the specificity of 0.90 when comparing the diabetic patients with the moderate NPDR to normal healthy subjects. The proposed approach could offer a simple way to differentiate diabetic patients with early DR from normal healthy subjects without performing the relatively complicated image processing techniques.This study was supported by Zhejiang Provincial Natural Science Foundation (LY20H180009), Qianjiang Talent Plan (QJD1803009), Ningbo Science and Technology Service Industry Demonstration Project (2020F031), Zhejiang Provincial Traditional Chinese Medicine Science and Technology Project (2023ZL647), and Ministry of Science and Higher Education of the Russian Federation as part of the Program for increasing the competitiveness of Samara University among the world's leading research and educational centers for 2013–2020

Analysis of the fiber lens microstructures effect on the diode laser beam profile

В работе рассмотрены прецизионные микролинзы и фоконы, сформированные на торцах кварцевых оптических волокон. Экспериментально было исследовано влияние представленных торцевых волоконных микроструктур на профиль лазерного излучения. Разработана и реализована экспериментальная установка для анализа качества пучка, профиля излучения и других основных характеристик лазерного излучения после его транспортировки по оптическому волокну. Получены предварительные результаты пространственного распределения излучения в лазерном луче в волокне с микроструктурами на торце и без них. The work considers precision microlensed and tapered core ends of silica optical fibers. The effect of the presented microstructured fiber core end on the laser radiation profile was experimentally researched. A setup has been developed for analyzing the quality of the beam, the radiation profile, and other basic characteristics of the laser source emission through it’s transportation over the optical fiber. The preliminary results of the spatial distribution of radiation in a laser beam in a fiber with microstructures at the end and without them were obtained

Analysis of correlation between Raman and autofluorescence human skin response in visible and NIR

В настоящем исследовании проанализированы спектральные характеристики кожи человека в присутствии различных влияющих факторов с помощью рамановской спектроскопии и автофлуоресцентного анализа в видимой и ближней ИК области. Проведено сравнительное исследование экспериментальных данных рамановского рассеяния и результатов автофлуоресцентного анализа. Обработка экспериментальных данных проведена с использованием методов регрессионного анализа. В результате исследования обнаружены информативные полосы рамановского рассеяния и автофлуоресценции, которые могут использоваться в качестве предикторов общего состояния организма человека. In current study we used Raman spectroscopy and autofluorescence analysis in visible and NIR region for the analysis human skin spectral characteristics in the presence of various influencing factors. We performed the comparative research of Raman experimentaldata and visible autofluorescence analysis results. The processing of experimental data was performed on the bases of regression analysis. We estimated correlations between Raman and autofluorescence signals and also find informative Raman and autofluorescence bands that may be used as predictors of general condition of the body.Проведенное исследование выполнено при поддержке Министерства образования и науки Российской Федерации и программы У.М.Н.И.К., договор No. No11672ГУ/2017 (Шамина Л.А.)

Multivariative analysis of skin neoplasms AF and Raman spectroscopy features

В работе проведено исследование новообразований кожи с помощью независимого применения АФ и КР методов, а также их комбинации. Анализ спектров новообразований кожи осуществлялся с использованием мультивариативного анализа данных PLS-DA. Для дифференциации спектров меланомы от других патологий кожи были рассчитаны значения PLS предсказателей на основании построенной PLS модели. Точность дифференциации меланомы от других новообразования на основании АФ особенностей составила 75,4%, с помощью КР признаков – 87,7%. Полученные результаты продемонстрировали, что совместный анализ АФ и КР методов позволяет повысить точность дифференциации исследуемых новообразований кожи до 91,1%. In this paper study of the skin neoplasms using autofluorescence analysis and Raman spectroscopy alone and their combination was performed. The neoplasm spectra analysis using by multivariate analysis PLS-DA was carried out. The PLS predictors for the differentiation of the melanoma from other skin pathologies spectra based on the PLS model were calculated. The differentiation accuracy of the melanoma from other neoplasms based on the Raman spectroscopy was 75.4%, based on the autofluorescence analysis – 87.7%. Results of this work demonstrated that combination of the autofluorescence and Raman spectroscopy allows to advance of the total neoplasms differentiation accuracy to 91.1%.Работа выполнена при поддержке Министерства образования и науки РФ