Abstract This work aims at studying Raman spectroscopy in combination with chemometrics as an alternative fast noninvasive method to detect chronic heart failure (CHF) cases. Optical analysis is focused on the changes spectral features associated biochemical composition of skin tissues. A portable setup 785 nm excitation wavelength was used record features. In this vivo study, 127 patients and 57 healthy volunteers were involved measuring by spectroscopy. The data analyzed a projection...

ABSTRACT The aim of the study is to compare performance surface‐enhanced Raman spectroscopy (SERS) analysis serum using a non‐cooled detector ( EnSpectr R785 ) and high spectral resolution Renishaw in task discrimination between patients with chronic heart failure obstructive pulmonary disease. SERS‐based solution classification problem demonstrates an insignificant relationship disease accuracy quality (classification for high‐resolution setup 0.84 low‐cost 0.81). In data recorded on setup,...

In this study, we performed in vivo diagnosis of skin cancer based on implementation a portable low-cost spectroscopy setup combining analysis Raman and autofluorescence spectra the near-infrared region (800-915 nm). We studied 617 cases neoplasms (615 patients, 70 melanomas, 122 basal cell carcinomas, 12 squamous carcinomas 413 benign tumors) with setup. The studies considered patients examined by GPs local clinics directed to specialized Oncology Dispensary suspected cancer. Each sample...

The differentiation of skin melanomas and basal cell carcinomas (BCCs) was demonstrated based on combined analysis Raman autofluorescence spectra stimulated by visible NIR lasers. It ex vivo tested 39 40 BCCs. Six spectroscopic criteria utilizing information about alteration melanin, porphyrins, flavins, lipids, collagen content in tumor with a comparison to healthy were proposed. measured correlation between the proposed makes it possible define weakly correlated groups for discriminant...

The present paper studies the applicability of a portable cost‐effective spectroscopic system for optical screening skin tumors. in vivo Raman scattering and autofluorescence (AF) tumors with 785 nm excitation laser near‐infrared region included malignant melanoma, basal cell carcinoma various types benign neoplasms. efficiency was evaluated by comparison highly sensitive diagnosis accuracy human oncologist. Partial least square analysis AF spectra performed; specificity sensitivity...

Abstract The object of this paper is in vivo study skin spectral‐characteristics patients with kidney failure by conventional Raman spectroscopy near infrared region. experimental dataset was subjected to discriminant analysis the projection on latent structures (PLS‐DA). Application investigate forearm 85 adult (90 spectra) and 40 healthy volunteers (80 has yielded accuracy 0.96, sensitivity 0.94 specificity 0.99 terms identifying target subjects failure. autofluorescence region identified...

In recent years, Raman spectroscopy has been used to study biological tissues. However, the analysis of experimental spectra is still challenging, since most tissue components overlap significantly and it difficult separate individual components. New methods are needed that would allow for decomposition into evaluation their contribution. The aim our work possibilities multivariate curve resolution alternating least squares (MCR-ALS) method skin tissues in vivo. We investigated human...

Background/Objectives: Chronic obstructive pulmonary disease (COPD) is a significant public health concern, affecting millions of people worldwide. This study aims to use Surface-Enhanced Raman Scattering (SERS) technology detect the presence respiratory conditions, with focus on COPD. Methods: The samples human serum from 41 patients diseases (11 COPD, 20 bronchial asthma (BA), and 10 asthma–COPD overlap syndrome) 103 ischemic heart disease, complicated by chronic failure (CHF), were...

In this work, Raman and autofluorescence spectroscopy in the near-infrared region has been used for examining amelanotic melanoma as most dangerous type of malignant melanoma. There were 9 patients with melanoma, 60 pigmented 120 basal cell carcinoma enrolled study. We studied cases to differentiate them from (n = 120) 60) using portable setup laser excitation source at 785 nm low-cost spectrometer. The spectra different tumor classified projection on latent structure analysis 10-Fold...

We demonstrate the applicability of near-infrared (NIR) autofluorescence (AF) skin tissues to differentiating neoplasms based on performing a series experiments with <italic>in vivo</italic> and <italic>ex tumors analyzing AF spectral shape, excitation–emission matrices, photobleaching properties malignant benign neoplasms. The melanin-pigmented lesions showed an increase in comparison nonpigmented tissue fluorescent emission using excitation at 785 nm. Autofluorescent differences can be...

We propose a method for the diagnostics of skin neoplasms, based on analysis changes in autofluorescence spectra near infrared range. The was excited by means laser radiation with wavelength 785 nm ex vivo and studies subsequent exponential approximation its spectrum. quantitative qualitative criteria neoplasm type differentiation change curvature rate decrease approximating curve are found. It is shown that proposed approach allows malignant melanomas accuracy 88.4% studies, 86.2 % ones.

In the paper, we present test results of methods for noninvasive diagnosis skin neoplasms, based on hyperspectral registration images by using a camera with an acousto-optic tunable filter. For identification oncological pathologies, integral spectral index has been proposed set concentric regions around source neoplasm growth tissue sample under study. As well as taking account changes in properties tissue, introduced indirectly takes into classical ABCD dermatoscopic features: asymmetry,...

The fluorescence and Raman spectroscopy (RS) combined method of in vivo detection malignant human skin cancer was demonstrated. analysis used for abnormalities during fast scanning large tissue areas. In suspected cases malignancy the spectrum biological performed to determine type neoplasm. A special RS phase proposed identification tumor. Quadratic Discriminant Analysis tumor classification on planes. It shown that application provides a diagnosis melanoma with sensitivity 89% specificity 87%.

In this work the study of optical properties skin tissues using Raman spectroscopy and autofluorescence analysis was performed. The different neoplasms carried out based on spectra stimulated by 785 nm laser. spectral data processed mathematical methods allowed for effective classification malignant benign tumors. proposed diagnostic helped to achieve 82.1-87% differentiation accuracy neoplasms.

In this study, patient data were combined with Raman and autofluorescence spectral parameters for more accurate identification of skin tumors. The tumors classified by projection on latent structures discriminant analysis. importance risk factors was determined using statistical improvement ROC AUCs when factors. Gender, age tumor localization found significant classification malignant versus benign neoplasms, resulting in from 0.610 to 0.818 (p < 0.05). To distinguish melanoma pigmented...

This work is devoted to the study of human blood protein fractions by Raman spectroscopy. Whole and plasma were used as tested samples. For pure spectra analysis autofluorescence background was subtracted using two mathematical approaches: polynomial approximation baseline correction with asymmetric least squares. The allowed for revealing differences between spectral features whole plasma, which are changes in relative intensities appearance bands 670 cm-1, 750 1120 cm-1 1550 correspond...

We present results of main skin chromophores (melanin and hemoglobin) optical analysis. Analysis 91 in vivo tissues (50 benign 41 malignant) was performed visible spectral region with hyperspectral imaging technique. To assess the malignancy we proposed two methods for calculating integral index tissue density a comparison their effectiveness physician survey. As diagnostic feature, propose to use data dispersion from studied healthy area. The classification discriminant analysis are...

Abstract This paper describes the use and results of a neural network classifier trained on set hyperspectral images benign malignant neoplasms. The analysis is carried out 2D extruded from data. ranges wavelengths at which research represented by intervals 530–570 nm 600–606 nm, caused assumption that entire spectral range redundant prospect saving resources. Melanoma, basal cell carcinoma (BCC), nevus papilloma are accepted as primary classes, most dangerous, common non-malignant types...

The paper presents results of using a neural network classifier to analyze images malignant skin lesions obtained hyper-spectral camera. Using three-block VGG architecture, we conducted the classification set two-dimensional melanoma, papilloma and basal cell carcinoma, in range 530 – 570 600 606 nm, characterized by highest absorption melanin hemoglobin. sufficiency inclusion training limited spectral is analyzed. show significant prospects algorithms for processing hyperspectral data...