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Journal of Biomedical Photonics & Engineering最新文献

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Differential Rapid Diagnosis of Endometrial Cancer and Its Benign Pathological Conditions Using Surface-Enhanced Raman Spectroscopy 利用表面增强拉曼光谱快速鉴别诊断子宫内膜癌及其良性病理状态
Journal of Biomedical Photonics & Engineering Pub Date : 2024-06-07 DOI: 10.18287/jbpe24.10.020307
D. Artemyev, L. Bratchenko, I. Matveeva, Vladimir I. Kukushkin, Dmitry V. Lystsev, Anatoly I. Ishchenko, Anton А. Ishchenko, Vladimir M. Zuev, Valery P. Zakharov
{"title":"Differential Rapid Diagnosis of Endometrial Cancer and Its Benign Pathological Conditions Using Surface-Enhanced Raman Spectroscopy","authors":"D. Artemyev, L. Bratchenko, I. Matveeva, Vladimir I. Kukushkin, Dmitry V. Lystsev, Anatoly I. Ishchenko, Anton А. Ishchenko, Vladimir M. Zuev, Valery P. Zakharov","doi":"10.18287/jbpe24.10.020307","DOIUrl":"https://doi.org/10.18287/jbpe24.10.020307","url":null,"abstract":". The purpose of this study is to improve the efficiency of early diagnosis of endometrial cancer using the analysis of surface-enhanced Raman scattering (SERS) of blood plasma. Blood plasma of patients aged 22 to 79 years was investigated. The study included 95 women. All patients were divided into 3 groups: group 1 consists of 29 women with endometrial adenocarcinoma, group 2 − 31 patients with endometrial polyp, group 3 – 10 women with endometrial hyperplasia. A control group consisted of 25 healthy women. The SERS spectra of dried samples were studied on an experimental stand consisting of a Photon-Bio RL785 spectrometric system based on a charge-coupled device (CCD) detector and a laser radiation source with a wavelength of 785 nm and an ADF U300 microscope. In order to realize the effect of surface enhancement of the Raman signal from blood plasma, we used a silver substrate based on a dried silver colloid. In the result of the study, the spectral features and specific features which characteristic of adenocarcinoma, polyps and endometrial hyperplasia were determined. With the use of discriminant analysis by projection onto latent structures (PLS-DA) method, the accuracy of optical diagnostics of endometrial adenocarcinoma relative to the control group and endometrial hyperplasia for the calibration and verification sets of spectra was 87% and 85%, respectively. Class discrimination accuracy of the control group with respect to endometrial hyperplasia and adenocarcinoma was 85%, and endometrial hyperplasia relative to the control group and endometrial adenocarcinoma was 81% for the verification set of spectra. The study shows the possibility of using SERS for differential express diagnostics of endometrial cancer and its benign pathological conditions.","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interrelation of Blood Microrheological Parameters Measured by Optical Methods and Whole Blood Viscosity in Patients Suffering from Blood Disorders: a Pilot Study 用光学方法测量血液微流变参数与血液疾病患者全血粘度的相互关系：一项试点研究
Journal of Biomedical Photonics & Engineering Pub Date : 2024-06-01 DOI: 10.18287/jbpe24.10.020306
P. Ermolinskiy, A. Lugovtsov, Matvei K. Maksimov, D.A. Umerenkov, P. A. Moldon, Anastasia N. Sveshnikova, Alexey V. Pshonkin, Natalia S. Smetanina, A. Priezzhev
{"title":"Interrelation of Blood Microrheological Parameters Measured by Optical Methods and Whole Blood Viscosity in Patients Suffering from Blood Disorders: a Pilot Study","authors":"P. Ermolinskiy, A. Lugovtsov, Matvei K. Maksimov, D.A. Umerenkov, P. A. Moldon, Anastasia N. Sveshnikova, Alexey V. Pshonkin, Natalia S. Smetanina, A. Priezzhev","doi":"10.18287/jbpe24.10.020306","DOIUrl":"https://doi.org/10.18287/jbpe24.10.020306","url":null,"abstract":". The perfusion of tissues and blood flux strongly depend on several interdependent parameters, such as viscosity of blood, red blood cell aggregation and red blood cell deformation. In case of many blood disorders these parameters are altered. This pilot study aimed to investigate the relationship between whole blood viscosity and microrheological parameters in patients with essential thrombocythemia (ET), as well as to compare microrheological parameters in patients with ET, erythrocytosis and spherocytosis. Blood viscosity measurements were performed using a rotational viscometer, while microrheological parameters were assessed through laser aggregometry and laser diffractometry techniques. The findings revealed novel data of the correlation between whole blood viscosity and microrheological parameters of patients with ET. Overall, this study provides valuable preliminary evidence on the relationship between whole blood viscosity and microrheological parameters in the context of blood disorders. © 2024 Journal of Biomedical Photonics & Engineering.","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"61 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141403873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Neurophysiological Analysis and Emotion Recognition with EEG Channel Spatial Metadata through Graph Neural Networks 通过图神经网络利用脑电图通道空间元数据增强神经生理学分析和情感识别能力
Journal of Biomedical Photonics & Engineering Pub Date : 2024-05-08 DOI: 10.18287/jbpe24.10.020304
Leonid Sidorov, Archil Maysuradze
{"title":"Enhancing Neurophysiological Analysis and Emotion Recognition with EEG Channel Spatial Metadata through Graph Neural Networks","authors":"Leonid Sidorov, Archil Maysuradze","doi":"10.18287/jbpe24.10.020304","DOIUrl":"https://doi.org/10.18287/jbpe24.10.020304","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":" 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigation of the Influence of Thermally Induced Methemoglobin on the Human Skin Optical Reflection 热诱导高铁血红蛋白对人体皮肤光学反射影响的研究
Journal of Biomedical Photonics & Engineering Pub Date : 2024-05-03 DOI: 10.18287/jbpe24.10.020303
Andrey V. Belikov, V.Yu. Chuchin
{"title":"Investigation of the Influence of Thermally Induced Methemoglobin on the Human Skin Optical Reflection","authors":"Andrey V. Belikov, V.Yu. Chuchin","doi":"10.18287/jbpe24.10.020303","DOIUrl":"https://doi.org/10.18287/jbpe24.10.020303","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"124 S7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141017490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multidimensional Analysis of Dermoscopic Images and Spectral Information for the Diagnosis of Skin Tumors 皮肤镜图像和光谱信息的多维分析用于皮肤肿瘤诊断
Journal of Biomedical Photonics & Engineering Pub Date : 2024-03-22 DOI: 10.18287/jbpe24.10.010307
I. Matveeva, Andrey I. Komlev, O. Kaganov, A. Moryatov, Valery P. Zakharov
{"title":"Multidimensional Analysis of Dermoscopic Images and Spectral Information for the Diagnosis of Skin Tumors","authors":"I. Matveeva, Andrey I. Komlev, O. Kaganov, A. Moryatov, Valery P. Zakharov","doi":"10.18287/jbpe24.10.010307","DOIUrl":"https://doi.org/10.18287/jbpe24.10.010307","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140217657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Photobiomodulation at 660 nm Modifies Apoptosis Regulators Bcl-2 and Caspase-3 in Diabetic Wounded Cell Models in Vitro 660 纳米波长的光生物调节可改变糖尿病损伤细胞体外模型中的凋亡调节因子 Bcl-2 和 Caspase-3
Journal of Biomedical Photonics & Engineering Pub Date : 2024-03-10 DOI: 10.18287/jbpe24.10.010306
S. W. Jere, N. Houreld
{"title":"Photobiomodulation at 660 nm Modifies Apoptosis Regulators Bcl-2 and Caspase-3 in Diabetic Wounded Cell Models in Vitro","authors":"S. W. Jere, N. Houreld","doi":"10.18287/jbpe24.10.010306","DOIUrl":"https://doi.org/10.18287/jbpe24.10.010306","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"40 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Implications of Varying Batch-Size in the Classification of Patch-Based Lung Nodules Using Convolutional Neural Network Architecture on Computed Tomography Images 在计算机断层扫描图像上使用卷积神经网络架构对基于斑块的肺结节进行分类时，不同批次大小的影响
Journal of Biomedical Photonics & Engineering Pub Date : 2024-03-04 DOI: 10.18287/jbpe24.10.010305
B. A. R., V. R. S., K. S. S.
{"title":"The Implications of Varying Batch-Size in the Classification of Patch-Based Lung Nodules Using Convolutional Neural Network Architecture on Computed Tomography Images","authors":"B. A. R., V. R. S., K. S. S.","doi":"10.18287/jbpe24.10.010305","DOIUrl":"https://doi.org/10.18287/jbpe24.10.010305","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"121 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140265422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Highly Accurate EEG Signal Classification Using Multiple Feature Extraction and LSTM Networks 利用多重特征提取和 LSTM 网络实现高精度脑电信号分类
Journal of Biomedical Photonics & Engineering Pub Date : 2024-03-03 DOI: 10.18287/jbpe24.10.010304
Deshmukh Deepika, Gillala Rekha
{"title":"Highly Accurate EEG Signal Classification Using Multiple Feature Extraction and LSTM Networks","authors":"Deshmukh Deepika, Gillala Rekha","doi":"10.18287/jbpe24.10.010304","DOIUrl":"https://doi.org/10.18287/jbpe24.10.010304","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"6 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140267095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the Relationship between Hypodermis Thickness and Diffuse Reflectance Spectra in Different Age and Gender Groups 探索不同年龄和性别群体的真皮下厚度与漫反射光谱之间的关系
Journal of Biomedical Photonics & Engineering Pub Date : 2024-02-28 DOI: 10.18287/jbpe24.10.010303
Denis A. Davydov, Nikolay A. Fadeev, Ivan D. Filippov, Gleb S. Budylin
{"title":"Exploring the Relationship between Hypodermis Thickness and Diffuse Reflectance Spectra in Different Age and Gender Groups","authors":"Denis A. Davydov, Nikolay A. Fadeev, Ivan D. Filippov, Gleb S. Budylin","doi":"10.18287/jbpe24.10.010303","DOIUrl":"https://doi.org/10.18287/jbpe24.10.010303","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"67 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140420636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring Convolutional Neural Networks for the Classification of Acute Lymphoblast Leukemia Blood Cell Images 探索用于急性淋巴细胞白血病血细胞图像分类的卷积神经网络
Journal of Biomedical Photonics & Engineering Pub Date : 2024-02-20 DOI: 10.18287/jbpe24.10.010302
Andrey Trubnikov, Dmitry Savelyev
{"title":"Exploring Convolutional Neural Networks for the Classification of Acute Lymphoblast Leukemia Blood Cell Images","authors":"Andrey Trubnikov, Dmitry Savelyev","doi":"10.18287/jbpe24.10.010302","DOIUrl":"https://doi.org/10.18287/jbpe24.10.010302","url":null,"abstract":"","PeriodicalId":224947,"journal":{"name":"Journal of Biomedical Photonics & Engineering","volume":"90 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140449387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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