Journal of Biophotonics最新文献_第3页

Application of Hyperspectral Imaging and Machine Learning for Differential Diagnosis of Hashimoto's Thyroiditis and Papillary Thyroid Carcinoma 高光谱成像与机器学习在桥本甲状腺炎与甲状腺乳头状癌鉴别诊断中的应用。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202500123

Yue Xiaoqing, Fan Danfeng, Li Hongmin, Chen Zhengyuan, Lv Haiyue, Hang Tianyi, Wang Huanjun

{"title":"Application of Hyperspectral Imaging and Machine Learning for Differential Diagnosis of Hashimoto's Thyroiditis and Papillary Thyroid Carcinoma","authors":"Yue Xiaoqing, Fan Danfeng, Li Hongmin, Chen Zhengyuan, Lv Haiyue, Hang Tianyi, Wang Huanjun","doi":"10.1002/jbio.202500123","DOIUrl":"10.1002/jbio.202500123","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Hashimoto's thyroiditis (HT) and papillary thyroid carcinoma (PTC) often share similar features, leading to frequent misdiagnoses. Hyperspectral imaging (HSI) offers detailed spatial and spectral insights, promising improved tumor detection.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aims to discern HT and PTC spectral characteristics using HSI and evaluate deep learning models for pathologic diagnostic effects.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Hyperspectral data from HT and PTC samples were processed using second-order derivatives and Savitzky–Golay smoothing. The adaptive spectral feature selection network model classified spectral data from various wavelengths to assess performance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>PTC showed unique spectral features in the 400–500 nm range with higher peak intensities at lower wavelengths than HT. The model achieved 88.36% accuracy, highlighting the importance of low-wavelength data in differentiating PTC from HT.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The model effectively identifies spectral differences between HT and PTC, offering a novel approach for precise thyroid disease diagnosis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Diffusion Irradiation Method to Monitor Thermal Effects on Deep Subcutaneous Vessels Using Laser Speckle Contrast Imaging 激光散斑对比成像用于监测深皮下血管热效应的扩散照射新方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202500089

Xu Sang, Liushuan Niu, Zhenjia Xiang, Dong Li, Bin Chen, Qiang Li

{"title":"A Novel Diffusion Irradiation Method to Monitor Thermal Effects on Deep Subcutaneous Vessels Using Laser Speckle Contrast Imaging","authors":"Xu Sang, Liushuan Niu, Zhenjia Xiang, Dong Li, Bin Chen, Qiang Li","doi":"10.1002/jbio.202500089","DOIUrl":"10.1002/jbio.202500089","url":null,"abstract":"<div>\u0000 \u0000 <p>This study aims to investigate the effects of upper skin layers on laser light propagation and heat diffusion during laser surgery for vascular dermatosis. Using a rat dorsal window chamber model, deep-situated vessels are irradiated by a transcutaneous therapeutic laser, while blood flow changes are monitored using deep learning–enhanced laser speckle contrast imaging (LSCI) on the contralateral side. In vivo experiments on 20 Sprague Dawley rats were conducted to evaluate the thermal response of subcutaneous vessels at varying depths to long-pulsed 1064 nm Nd:YAG laser treatment under different parameters. Optimal laser settings are identified based on vessel morphology and blood flow velocity, ensuring effective thermal absorption for deeper vessels. By integrating LSCI with deep learning denoising techniques, this study presents a novel strategy for monitoring laser-induced effects on deep subcutaneous vessels, with potential applications in optimizing treatment strategies for vascular lesions.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning 利用拉曼光谱和机器学习间接检测猪血液中的猪流感活性。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202400575

Aidan Paul Holman, Axell Rodriguez, Ragd Elsaigh, Roa Elsaigh, Joseph Wilson, Matt H. Cohran, Dmitry Kurouski

{"title":"Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning","authors":"Aidan Paul Holman, Axell Rodriguez, Ragd Elsaigh, Roa Elsaigh, Joseph Wilson, Matt H. Cohran, Dmitry Kurouski","doi":"10.1002/jbio.202400575","DOIUrl":"10.1002/jbio.202400575","url":null,"abstract":"<p>Over the past decade, several swine influenza variants, including H1N1 and H1N2, have been periodically detected in swine. Raman spectroscopy (RS) offers a non-destructive, label-free, and rapid method for detecting pathogens by analyzing molecular vibrations to capture biochemical changes in samples. In this study, we examined blood serum from swine under different conditions: healthy, unvaccinated, or vaccinated against porcine reproductive and respiratory syndrome, and vaccinated swine infected with H1N1 and H1N2 variants of swine influenza. Our findings demonstrate that RS, when combined with machine learning algorithms such as partial least squares discriminant analysis and eXtreme gradient boosting discriminant analysis, can achieve accuracy rates of up to 97.8% in identifying the infection status and specific variant within porcine blood serum. This research highlights RS as a useful, novel tool for the detection of influenza variants in swine, significantly enhancing surveillance efforts by identifying animal health threats.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomarker Detection in the Wastewater Phantom 废水幻影中的生物标志物检测。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202500003

Adam Władziński, Monika Kosowska, Paweł Wityk, Aneta Łuczkiewicz, Marcin Gnyba, Małgorzata Szczerska

{"title":"Biomarker Detection in the Wastewater Phantom","authors":"Adam Władziński, Monika Kosowska, Paweł Wityk, Aneta Łuczkiewicz, Marcin Gnyba, Małgorzata Szczerska","doi":"10.1002/jbio.202500003","DOIUrl":"10.1002/jbio.202500003","url":null,"abstract":"<div>\u0000 \u0000 <p>Research trends are focused on developing solutions that monitor public health utilizing sewage surveillance, as wastewater can provide valuable information on the presence of specific biomarkers. Such information can serve as an indication of immune response at the community level, delivering a noninvasive measure of e.g., vaccination effectiveness. In this paper, we present an optical wastewater phantom fabrication, characterization, and comparison to real wastewater samples. Raman spectroscopy was used for the investigation of the molecular compositions of treated wastewater and artificial wastewater phantoms, and the refractometer to investigate refractive index values dependence on temperature. Selected biomarkers concentrations (10<sup>−6</sup> to 10<sup>−1</sup> mg/mL) were added to the validated phantoms. The selective detection of SARS-CoV-2 immunoglobulin G (IgG) was achieved through specific surface modification of the fiber-optic probe, allowing only targeted biomarkers to attach and influence the measurement signal. Successful detection of 10<sup>−6</sup> mg/mL IgG concentration in the wastewater phantom was achieved within 5 min.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal Diagnostic Approach for Osteosarcoma and Bone Callus Using Hyperspectral Imaging and Deep Learning 基于高光谱成像和深度学习的骨肉瘤和骨痂多模态诊断方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202500087

Yan Li, Bingsen Zhao, Shuangxiu Li, Xiaoqing Yang, Minmin Yu, Zhijun Li

{"title":"Multimodal Diagnostic Approach for Osteosarcoma and Bone Callus Using Hyperspectral Imaging and Deep Learning","authors":"Yan Li, Bingsen Zhao, Shuangxiu Li, Xiaoqing Yang, Minmin Yu, Zhijun Li","doi":"10.1002/jbio.202500087","DOIUrl":"10.1002/jbio.202500087","url":null,"abstract":"<div>\u0000 \u0000 <p>Distinguishing osteosarcoma from bone callus remains a clinical challenge due to their morphological similarities. This study proposes J-CAN, a multimodal deep learning framework integrating hyperspectral imaging (HSI) and H&E-stained pathology for rapid and accurate classification. The HSI system captures 176 spectral bands (400–1000 nm), providing molecular-level insights. MobileNetV2 extracts spatial features, while 1D-CNN processes spectral signatures. A self-attention mechanism enhances feature selection, prioritizing key spectral and spatial characteristics to improve classification performance. Experimental results show that J-CAN outperforms conventional models, including LSTM, SVM, and 1D-CNN, achieving 87.33% accuracy, 89.07% sensitivity, and 85.49% specificity. These findings demonstrate the potential of HSI-driven deep learning for clinical pathology, enabling efficient, automated osteosarcoma diagnosis. This approach enhances diagnostic precision and provides a valuable tool for pathologists, addressing the limitations of traditional histopathological assessments and improving the differentiation between osteosarcoma and bone callus.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Depth-Dependent Color-Coded Optical Attenuation Coefficient Imaging: Assisted Examination Methods of Facial Microcirculation 深度相关彩色编码光学衰减系数成像：面部微循环辅助检查方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202500074

Jian Liu, Linghui Kong, Binyin Zhang, Yao Yu, Zhenhe Ma

引用次数: 0

Convolutional Neural Networks Enable Direct Strain Estimation in Quasistatic Optical Coherence Elastography 卷积神经网络实现准静态光学相干弹性成像的直接应变估计。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202400386

Achuth Nair, Manmohan Singh, Salavat R. Aglyamov, Kirill V. Larin

引用次数: 0

Development of 3D Intelligent Quantitative Phase Microscope for Sickle Cells Screening 用于镰状细胞筛选的三维智能定量相显微镜的研制

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202400512

Sautami Basu, Gyanendra Singh, Ravinder Agarwal, Vishal Srivastava

引用次数: 0

A Novel Method for Rapid Measurement of Facial Blood Oxygen Saturation Using a Snapshot Multispectral Imager 一种利用快照多光谱成像仪快速测量面部血氧饱和度的新方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-04-29 DOI: 10.1002/jbio.70001

Zhao Yizhuo, Ren Yu, Cai Hongxing, Wang Tingting, Wang Yiming, Liu Jianguo, Jing Yanmei

引用次数: 0

Mitochondrial Oxygen Consumption and Immunocytochemistry of Human Dental Pulp Stem Cell Following 808 nm PBM Therapy: A 3D Cell Culture Study 808 nm PBM治疗后人牙髓干细胞线粒体耗氧量和免疫细胞化学：3D细胞培养研究

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-04-28 DOI: 10.1002/jbio.70051

Simone L. Sleep, Eliza Ranjit, Jennifer Gunter, Deanne H. Hryciw, Praveen Arany, Roy George

{"title":"Mitochondrial Oxygen Consumption and Immunocytochemistry of Human Dental Pulp Stem Cell Following 808 nm PBM Therapy: A 3D Cell Culture Study","authors":"Simone L. Sleep, Eliza Ranjit, Jennifer Gunter, Deanne H. Hryciw, Praveen Arany, Roy George","doi":"10.1002/jbio.70051","DOIUrl":"10.1002/jbio.70051","url":null,"abstract":"<p>This study investigated the impact of 808 nm laser photobiomodulation (PBM) on mitochondrial respiration and osteogenic protein expression (OCN, OPN, ALP, RUNX2, COL-1, BMP-2) in human dental pulp stem cells (hDPSCs) within a 3D hydrogel model. hDPSCs were isolated from third molars and maintained under hypoxic conditions. Cells received PBM at 5 and 15 J/cm<sup>2</sup> using an 808 nm diode laser. The study showed that 808 nm PBM can alter mitochondrial respiration, with 5 J/cm<sup>2</sup> enhancing osteogenic protein expression (OCN, ALP, OPN, RUNX2) but failing to sustain BMP-2 at 24 h. In contrast, 15 J/cm<sup>2</sup> induced stronger upregulation and prolonged BMP-2 expression, suggesting an optimal dose for sustained osteogenic activity. BMP-2 was later downregulated, and COL-1 remained unchanged post-PBM. Importantly, this study indicates the dose-specific PBM modulation of mitochondrial respiration and protein expression, but further research is required to optimize treatment protocols.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0