Journal of Biophotonics最新文献_第2页

Tartrazine for Optical Clearing of Tissues: Stability and Diffusion Issues 酒黄石用于组织的光学清除：稳定性和扩散问题。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-01 DOI: 10.1002/jbio.202500160

Ana R. Guerra, Luís R. Oliveira, Gonçalo O. Rodrigues, Maria R. Pinheiro, Maria I. Carvalho, Valery V. Tuchin, Luís M. Oliveira

引用次数: 0

DeepLabV3+ With Convolutional Triplet Attention and Histopathology-Guided Voting for Hyperspectral Image Segmentation of Serous Ovarian Cancer 基于卷积三重关注和组织病理学引导投票的DeepLabV3+用于浆液性卵巢癌高光谱图像分割。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-30 DOI: 10.1002/jbio.202500142

Wenrui Tang, Lijun Wei, Zhenfeng Mo, Jiahao Wang, Xuan Zhang, Siqi Zhu, Lvfen Gao

{"title":"DeepLabV3+ With Convolutional Triplet Attention and Histopathology-Guided Voting for Hyperspectral Image Segmentation of Serous Ovarian Cancer","authors":"Wenrui Tang, Lijun Wei, Zhenfeng Mo, Jiahao Wang, Xuan Zhang, Siqi Zhu, Lvfen Gao","doi":"10.1002/jbio.202500142","DOIUrl":"10.1002/jbio.202500142","url":null,"abstract":"<div>\u0000 \u0000 <p>Deep learning has been extensively applied in medical image analysis, providing healthcare professionals with more efficient and accurate diagnostic information. Among these advanced semantic segmentation models, the baseline DeepLabV3+ model is more adept at processing low-dimensional data such as RGB images, but its performance on high-dimensional data like hyperspectral images is suboptimal, limiting its generalization and discriminative capabilities. We propose a highly innovative hybrid architecture integrating a Convolutional Triplet Attention Module (CTAM) to capture cross-dimensional spectral-spatial dependencies and a Histopathology-Guided Voting Mechanism (HVM) to incorporate WHO diagnostic criteria. The results demonstrate that our model can accurately differentiate and localize low-grade and high-grade serous ovarian cancer tissues, with an accuracy of 92.7% and 90.2%, respectively. Furthermore, our performance exceeds the pathologist's consensus (85.4%) and surpasses state-of-the-art models (e.g., U-Net, PAN, FPN) by a significant margin of over 20% in LGSC classification, rigorously validating its scientific superiority.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144532019","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

Unstained Blood Smear Analysis: A Review of Rule-Based, Machine Learning, and Deep Learning Techniques 未染血涂片分析：基于规则、机器学习和深度学习技术综述。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-30 DOI: 10.1002/jbio.202500121

Husnu Baris Baydargil, Thomas Bocklitz

引用次数: 0

Automated Classification of Rheumatoid Arthritis and Knee Synovitis From Hyperspectral Reflectance Data 基于高光谱反射数据的类风湿性关节炎和膝关节滑膜炎的自动分类。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-25 DOI: 10.1002/jbio.202500197

Shuwang Sun, Zhengyu Wang, Minmin Yu, Yihan Zhao, Yihui He, Lining Zhao

{"title":"Automated Classification of Rheumatoid Arthritis and Knee Synovitis From Hyperspectral Reflectance Data","authors":"Shuwang Sun, Zhengyu Wang, Minmin Yu, Yihan Zhao, Yihui He, Lining Zhao","doi":"10.1002/jbio.202500197","DOIUrl":"10.1002/jbio.202500197","url":null,"abstract":"<div>\u0000 \u0000 <p>Accurate differentiation between rheumatoid arthritis (RA) and knee synovitis (KS) is essential for guiding optimal treatment, yet conventional histopathology often relies on subjective interpretation and offers limited insight into tissue biochemistry. Here, we introduce TransCNN, a novel multimodal framework that integrates hyperspectral imaging (HSI) with deep learning to achieve objective, high-precision diagnosis. Reflectance-mode HSI across the 400–1000 nm spectrum was performed on 95 synovial tissue specimens. Spectral data were denoised using Savitzky–Golay filtering and distilled via principal component analysis to enhance feature separability. TransCNN employs convolutional neural networks to capture intricate spatial morphology and Transformer layers to model global spectral correlations, producing a unified spectral-spatial representation. On an independent validation set, TransCNN achieved 91% accuracy, 89% F1-score, 90% recall, and 89% precision, substantially surpassing traditional approaches. These findings demonstrate that TransCNN provides a noninvasive, highly sensitive tool for pathological diagnosis, facilitating more reliable, data-driven decision-making in rheumatologic practice.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499953","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

Diagnostic Study of Head and Neck Metastatic Tumors From Different Primary Sites Based on Stacking Machine Learning Methods 基于堆叠机器学习方法的头颈部不同原发部位转移性肿瘤诊断研究。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-24 DOI: 10.1002/jbio.202500044

Yifei Liu, Cong Wu, Junpeng Ma, Liang Ma, Chongxuan Tian, Yunze Li, Jinlin Deng, Qize Lv, Wei Li, Miaoqing Zhao

引用次数: 0

Hyperspectral Imaging for Benign and Malignant Diagnosis of Breast Tumors 高光谱成像在乳腺肿瘤良恶性诊断中的应用。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-24 DOI: 10.1002/jbio.202500188

Yihui He, Yihan Zhao, Jia Xu, Dongsheng Zhou, Weichen Shi, Yulong Wang, Yunchao Wang, Xulei Wang, Mengqiu Zhang, Ning Kang, Jianning Wang

{"title":"Hyperspectral Imaging for Benign and Malignant Diagnosis of Breast Tumors","authors":"Yihui He, Yihan Zhao, Jia Xu, Dongsheng Zhou, Weichen Shi, Yulong Wang, Yunchao Wang, Xulei Wang, Mengqiu Zhang, Ning Kang, Jianning Wang","doi":"10.1002/jbio.202500188","DOIUrl":"10.1002/jbio.202500188","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To assess the feasibility of combining microscopic hyperspectral imaging (370–1100 nm) with a lightweight 1D-CNN for rapid, label-free discrimination of benign and malignant breast tumors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Breast specimens (43 malignant, 39 benign) were imaged; 2 050 000 pixel spectra were preprocessed (dark-current subtraction, white-reference calibration, Savitzky–Golay smoothing, z-score normalization) and input to a custom 1D-CNN. Performance was benchmarked against SVM, AlexNet, and LSTM using accuracy, sensitivity, specificity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The 1D-CNN achieved 90.43% accuracy, 89.10% sensitivity, 91.34% specificity, exceeding baseline models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Combining HSI with 1D CNN enables rapid and highly accurate classification of breast tumors, providing a new approach to rapid pathological diagnosis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144487541","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

Comprehensive Investigation of the Eye-Cornea Structure Based on the Extended Techniques of Polarization-Sensitive Optical Coherence Tomography 基于偏振敏感光学相干层析成像扩展技术的人眼角膜结构综合研究。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-24 DOI: 10.1002/jbio.202500101

O. V. Angelsky, A. Y. Bekshaev, C. Yu. Zenkova, D. I. Ivanskyi, J. Zheng, Xinzheng Zhang, Yu. Ursuliak

{"title":"Comprehensive Investigation of the Eye-Cornea Structure Based on the Extended Techniques of Polarization-Sensitive Optical Coherence Tomography","authors":"O. V. Angelsky, A. Y. Bekshaev, C. Yu. Zenkova, D. I. Ivanskyi, J. Zheng, Xinzheng Zhang, Yu. Ursuliak","doi":"10.1002/jbio.202500101","DOIUrl":"10.1002/jbio.202500101","url":null,"abstract":"<div>\u0000 \u0000 <p>We present a universal technique for noninvasive investigation of thin multilayer optically transparent tissues based on polarization-sensitive optical coherence tomography. To reach higher diagnostic accuracy, we revisit the model of the cornea structure and reconsider the physical features of the interaction of light with the tissue structural elements. In the scheme proposed, the probing beam is algorithmically adjustable such that the <i>x</i>-polarized radiation impinges each consecutive structural layer; the object beam is formed by the reflection and back-scattering. Its characteristics are found analytically and numerically within the framework of the polarized Monte-Carlo model and the Jones matrix formalism. A modified Mach–Zehnder interferometer with orthogonal polarization channels enables the elimination of the object-signal depolarization caused by stochastic scattering and facilitates evaluation of the refractive indices and birefringence of tissue elements. The technique permits spatial scanning of the object, providing a complete 3D mapping with a submicrometer resolution in the longitudinal and transverse directions.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144487539","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-Resolved Attenuation Coefficient Quantification During Murine Embryonic Brain Development 小鼠胚胎脑发育过程中深度分辨衰减系数的量化。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-23 DOI: 10.1002/jbio.202500212

Md Mobarak Karim, Achuth Nair, Manmohan Singh, Maryam Hatami, Salavat R. Aglyamov, Kirill V. Larin

{"title":"Depth-Resolved Attenuation Coefficient Quantification During Murine Embryonic Brain Development","authors":"Md Mobarak Karim, Achuth Nair, Manmohan Singh, Maryam Hatami, Salavat R. Aglyamov, Kirill V. Larin","doi":"10.1002/jbio.202500212","DOIUrl":"10.1002/jbio.202500212","url":null,"abstract":"<div>\u0000 \u0000 <p>Brain development is a highly regulated process with significant morphological and functional transformations during early embryogenesis. Here, we quantified the optical attenuation coefficient (OAC) during murine embryonic brain development with a focus on crucial areas, including the forebrain, midbrain, and hindbrain from embryonic day (E)9.5 to E13.5. At earlier developmental stages, the estimation of OAC in these regions is comparatively low due to the low cell density and more straightforward pattern of extracellular matrix (ECM) composition, which results in minimal scattering and signal attenuation. However, as the embryo grows (by E13.5), increased ECM density and vascularization, along with the formation of blood vessels, contribute to enhanced signal attenuation, thereby reducing light penetration. As a result of gradual changes in cellular composition, tissue architecture, and extracellular matrix density, the study's findings demonstrate an increasing trend in OAC across the midbrain, hindbrain, and forebrain during embryonic development from E9.5 to E13.5.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478277","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

Identification of Migraine Subtypes Using Functional Near-Infrared Spectroscopy Data: A Domain-Based Feature Extraction 使用功能近红外光谱数据识别偏头痛亚型：基于域的特征提取。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-23 DOI: 10.1002/jbio.202500120

Begum Kara Gulay, Nilufer Zengin, Fatih Emre Ozturk, Vesile Ozturk, Cagdas Guducu, Neslihan Demirel

{"title":"Identification of Migraine Subtypes Using Functional Near-Infrared Spectroscopy Data: A Domain-Based Feature Extraction","authors":"Begum Kara Gulay, Nilufer Zengin, Fatih Emre Ozturk, Vesile Ozturk, Cagdas Guducu, Neslihan Demirel","doi":"10.1002/jbio.202500120","DOIUrl":"10.1002/jbio.202500120","url":null,"abstract":"<div>\u0000 \u0000 <p>Migraine diagnosis relies on subjective patient reports and International Headache Society guidelines, leading to misdiagnoses. In clinical practice, objective, reliable diagnostic tools are needed. To address this, the study proposes a framework utilizing functional near-infrared spectroscopy (fNIRS) to distinguish healthy individuals, interictal migraine patients with and without aura. The approach focuses on prefrontal cortex (PFC) activity, extracting features from oxyhemoglobin, deoxyhemoglobin, and total hemoglobin in time, frequency, and time-frequency domains. XGBoost applied to time-frequency features of oxyhemoglobin in the left PFC demonstrated outstanding performance, achieving 92% balanced accuracy, 89% sensitivity, 95% specificity, and 89% F1 score. Non-invasive fNIRS with Machine Learning offers a promising, cost-effective alternative to traditional diagnostic methods, enhancing early and accurate diagnosis, leading to better-targeted treatments and improved outcomes. The study provides a strong foundation for future research and clinical applications in migraine diagnosis.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478278","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

Use of Mitochondrial Delayed Luminescence Measurements From Brain Tissue to Optimize Photobiomodulation Prarameters in Alzheimer's Disease Mice 利用脑组织线粒体延迟发光测量优化阿尔茨海默病小鼠的光生物调节参数。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-06-23 DOI: 10.1002/jbio.202500151

Hong Bae Kim, Chang Kyu Sung

{"title":"Use of Mitochondrial Delayed Luminescence Measurements From Brain Tissue to Optimize Photobiomodulation Prarameters in Alzheimer's Disease Mice","authors":"Hong Bae Kim, Chang Kyu Sung","doi":"10.1002/jbio.202500151","DOIUrl":"10.1002/jbio.202500151","url":null,"abstract":"<p>The therapeutic potential of photobiomodulation (PBM) for Alzheimer's disease (AD) was evaluated by examining β-amyloid accumulation, microglial activation, and memory function. Mitochondrial delayed luminescence (m-DL), an indirect mitochondrial marker, was measured by irradiating 2 J/cm<sup>2</sup> of 808 nm near-infrared light to the exposed brain surface of anesthetized 5XFAD mice. Based on m-DL findings, behavioral PBM was applied transcranially to the intact scalp using the same fluence at 30, 40, and 80 Hz with respective duty cycles and durations. The 80 Hz setting produced the longest m-DL decay time and selectively improved recognition memory. Immunofluorescence revealed a significant 0.27-fold decrease in β-amyloid and 0.13-fold decrease in microglial activation without changes in neuronal density. Limitations include the small sample size, short duration, and the need to validate m-DL with established bioenergetic assays. Despite these, findings suggest that optimized PBM may offer a promising noninvasive intervention for AD, warranting further long-term investigation.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202500151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478279","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