Journal of biophotonics最新文献

Fast Optical Coherence Elastography via Optimized Sampling Density With Preserved Accuracy. 通过优化采样密度保持精度的快速光学相干弹性成像。

IF 2.3

Journal of biophotonics Pub Date : 2026-10-01 DOI: 10.1002/jbio.70376

Guangyu Zhang, Zhengshuyi Feng, Alison M Layton, Chunhui Li, Zhihong Huang

引用次数: 0

PEGylated Superparamagnetic Iron Oxide Nanoparticles as Contrast-Enhancing Agents for Swept-Source Optical Coherence Tomography of Biological Tissue. 聚乙二醇超顺磁性氧化铁纳米颗粒作为生物组织扫描源光学相干断层成像的对比度增强剂。

IF 2.3

Journal of biophotonics Pub Date : 2026-09-01 DOI: 10.1002/jbio.70367

Tejal Barkhade, Gajendar Singh, Abhishek Indoliya, Raju Poddar

{"title":"PEGylated Superparamagnetic Iron Oxide Nanoparticles as Contrast-Enhancing Agents for Swept-Source Optical Coherence Tomography of Biological Tissue.","authors":"Tejal Barkhade, Gajendar Singh, Abhishek Indoliya, Raju Poddar","doi":"10.1002/jbio.70367","DOIUrl":"https://doi.org/10.1002/jbio.70367","url":null,"abstract":"In this work, the effect of surface modification of superparamagnetic iron oxide nanoparticles (SPIONs) with polyethylene glycol (PEG) on contrast enhancement in swept-source optical coherence tomography (SS-OCT) is investigated. The bare and PEGylated SPIONs were prepared by the co-precipitation method from an aqueous solution of an Fe(III) salt. They were characterized by UV-DRS, Raman spectroscopy, FTIR, TEM, and VSM to determine their physicochemical properties. The performance of ex vivo imaging was evaluated in chicken breast tissue with B-scan SS-OCT at various exposure times (0, 10, 20, 30, 40, and 50 min), and the contrast enhancement was investigated by measuring the scattering coefficient. The brightness of bare SPIONs was low, and the penetration into tissues was slow. PEG-SPIONs, on the other hand, showed better optical stability, penetration, enhanced scattering, and brighter SS-OCT images. The scattering coefficient (mm-1) of PEG-SPION-treated tissue increased with exposure time, indicating its effectiveness as a tissue contrast agent.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":"19 9","pages":"e70367"},"PeriodicalIF":2.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149032109","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

Numerical Investigation of an Au-TiO₂ Micro-Grating-Metastructure D-Shaped PCF-SPR Sensor for SARS-CoV-2-Related Biomolecular Interaction Analysis. 用于sars - cov -2相关生物分子相互作用分析的Au-TiO2微光栅-元结构d形PCF-SPR传感器的数值研究

IF 2.3

Journal of biophotonics Pub Date : 2026-09-01 DOI: 10.1002/jbio.70350

Xing Wang, Honggang Pan, Dan Xia, Qingcheng You, Yukun Zhu, Licui Ji, Xu Gao, Xinjie Zhao, Yating Tang

{"title":"Numerical Investigation of an Au-TiO2 Micro-Grating-Metastructure D-Shaped PCF-SPR Sensor for SARS-CoV-2-Related Biomolecular Interaction Analysis.","authors":"Xing Wang, Honggang Pan, Dan Xia, Qingcheng You, Yukun Zhu, Licui Ji, Xu Gao, Xinjie Zhao, Yating Tang","doi":"10.1002/jbio.70350","DOIUrl":"https://doi.org/10.1002/jbio.70350","url":null,"abstract":"This study numerically investigates a D-shaped photonic crystal fiber (PCF) surface plasmon resonance (SPR) sensor integrated with an Au-TiO2 micro-grating metastructure for SARS-CoV-2-related biomolecular interaction analysis. The grating modulates phase matching between the core-guided and surface plasmon polariton modes, enhancing the refractive index (RI) response. The finite element method (FEM) was used to optimize the PCF air-hole diameters and Au-TiO2 grating parameters. The sensor shows a broad RI response range of 1.19-1.43, with a maximum local wavelength sensitivity (WS) of 18 500 nm/RIU, minimum full width at half maximum (FWHM) of 10 nm, and maximum figure of merit (FOM) of 240 RIU-1. For modeled spike RBD and anti-RBD monoclonal IgG binding, maximum WS values of 5000 and 4782 nm/RIU were obtained. These results support compact fiber-integrated SPR platforms for label-free monitoring of SARS-CoV-2-related RI variations, while specificity and reliability require experimental validation.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":"19 9","pages":"e70350"},"PeriodicalIF":2.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149066976","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

Fluorescence Profiling of Water-Based Breast Tissue Homogenates Combined With Chemometric Analyses for Discrimination of Benign and Malignant Lesions. 水基乳腺组织匀浆的荧光谱分析与化学计量学分析相结合用于区分良恶性病变。

IF 2.3

Journal of biophotonics Pub Date : 2026-06-01 DOI: 10.1002/jbio.70316

Eman G Ibrahim, Sherif S Mahmoud, Rehab A Taha, Hamdia A Zayed

{"title":"Fluorescence Profiling of Water-Based Breast Tissue Homogenates Combined With Chemometric Analyses for Discrimination of Benign and Malignant Lesions.","authors":"Eman G Ibrahim, Sherif S Mahmoud, Rehab A Taha, Hamdia A Zayed","doi":"10.1002/jbio.70316","DOIUrl":"10.1002/jbio.70316","url":null,"abstract":"Breast cancer diagnosis is clinically challenging, particularly in distinguishing benign lesions, ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC). This study evaluates multimodal autofluorescence spectroscopy combined with chemometric analysis for breast tissue classification. A total of 145 ex vivo specimens (56 IDC, 54 DCIS, 35 benign) were analyzed using excitation spectroscopy, synchronous fluorescence spectroscopy, and two-dimensional integrated-emission mapping (2D-IEM). Spectral data were decomposed via parallel factor analysis (PARAFAC) and assessed using PCA with Bonferroni-corrected ANOVA and receiver operating characteristic analysis. Excitation fluorescence demonstrated good discrimination for benign (area under the curve, AUC = 0.85) and IDC (AUC = 0.83) tissues, with moderate DCIS performance (AUC = 0.75). Synchronous modality enhanced differentiation of overlapping fluorophores, revealing tumor-specific metabolic signatures. PARAFAC resolved three biologically relevant components-protein-related, metabolic, and porphyrin-associated-enabling clear tissue group separation. These findings establish multimodal autofluorescence spectroscopy as a robust, label-free approach with strong potential for intraoperative margin assessment and diagnostic support.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":"19 6","pages":"e70316"},"PeriodicalIF":2.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148334969","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

Relationship Between Body Fat Percentage and Near-Infrared Scattering Images of Muscle: A Noninvasive and Rapid Study on Human Body. 体脂率与肌肉近红外散射图像的关系：人体无创快速研究。

IF 2.3

Journal of biophotonics Pub Date : 2026-06-01 DOI: 10.1002/jbio.70309

Yong-Hui Pyon, Jin-Hyok Kang, Jong-Jin Kim, Seung-Ho Jung, Jong-Guk Won, Hyon-Ryong Bang

引用次数: 0

FTIR-ATR Spectroscopy as a Tool to Differentiate Listeria monocytogenes by Geno-Serogroups, Growth Conditions and Persistence Status. FTIR-ATR光谱作为区分单核细胞增生李斯特菌的基因血清群、生长条件和持续状态的工具。

IF 2.3

Journal of biophotonics Pub Date : 2026-06-01 DOI: 10.1002/jbio.70314

Rui Meneses, Rui Miguel Magalhães, Clara Sousa, Paula Teixeira

{"title":"FTIR-ATR Spectroscopy as a Tool to Differentiate Listeria monocytogenes by Geno-Serogroups, Growth Conditions and Persistence Status.","authors":"Rui Meneses, Rui Miguel Magalhães, Clara Sousa, Paula Teixeira","doi":"10.1002/jbio.70314","DOIUrl":"10.1002/jbio.70314","url":null,"abstract":"Listeria monocytogenes is a foodborne pathogen whose persistence in food processing environments poses serious health and economic risks. Differentiating persistent strains (isolated over long periods in the same plant) from transient strains (sporadically isolated) is vital for effective control. This study assessed Fourier transform infrared with attenuated total reflectance (FTIR-ATR) spectroscopy for its ability to discriminate L. monocytogenes based on geno-serogroup, growth condition and persistence status. Forty-seven isolates were cultured under optimal (37°C, BHI agar/broth) and stress (7°C or 8% NaCl) conditions. FTIR-ATR spectra, analysed via principal component and partial least squares discriminant analyses, achieved up to 96.7% accuracy for geno-serogroup differentiation and exceeded 98% accuracy for distinguishing growth conditions. For persistence, predictive accuracies ranged from 67.1% to 92.0% for geno-serogroup IVb on BHI agar at 37°C, showing FTIR-ATR's potential. Further validation using larger datasets is required to strengthen the model's applicability for persistence-based discrimination.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":"19 6","pages":"e70314"},"PeriodicalIF":2.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148335051","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

Utilizing Serum Fluorescence Spectra and Machine Learning Algorithms for Efficient Diagnosis of Sheep Brucellosis. 利用血清荧光光谱和机器学习算法高效诊断绵羊布鲁氏菌病。

IF 2.3

Journal of biophotonics Pub Date : 2026-06-01 DOI: 10.1002/jbio.70317

Ziyi Fang, Xiangxiang Zheng, Xia Liao, Jinlong Zhao, Yutong Jia, Yun Du, Shengke Xu, Renyong Lin, Yijie Li, Guodong Lü

{"title":"Utilizing Serum Fluorescence Spectra and Machine Learning Algorithms for Efficient Diagnosis of Sheep Brucellosis.","authors":"Ziyi Fang, Xiangxiang Zheng, Xia Liao, Jinlong Zhao, Yutong Jia, Yun Du, Shengke Xu, Renyong Lin, Yijie Li, Guodong Lü","doi":"10.1002/jbio.70317","DOIUrl":"10.1002/jbio.70317","url":null,"abstract":"In sheep, the infectious disease brucellosis is caused by Brucella melitensis. Traditional serological techniques for detecting Brucella in sheep are slow and not very accurate, necessitating a faster and more precise screening method. This study seeks to assess the potential for diagnosing brucellosis seropositive sheep through the application of serum fluorescence spectroscopy in conjunction with principal component analysis-linear discriminant analysis (PCA-LDA), support vector machine with linear (SVM-linear), support vector machine with radial basis function (SVM-RBF), k-nearest neighbors (KNN), and decision tree (DT) algorithms. The study revealed differences at 470, 515, 560, 670, and 710 nm through the analysis of serum fluorescence spectra from sheep with and without brucellosis. Among them, the diagnostic effect of the PCA-LDA algorithm is the best (accuracy 91.0% ± 6.1%). In summary, the combination of serum fluorescence spectroscopy and the PCA-LDA algorithm holds considerable potential for detecting brucellosis seropositive sheep.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":"19 6","pages":"e70317"},"PeriodicalIF":2.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148334991","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

Local Mitochondrial Growth Initiated by Femtosecond Laser-Evoked Ca²⁺ Signaling. 飞秒激光诱导的Ca2+信号引发局部线粒体生长。

IF 2.3

Journal of biophotonics Pub Date : 2026-06-01 DOI: 10.1002/jbio.70313

Bingyi Li, Zichuan Tang, Hao He

引用次数: 0

Discriminant Analysis of Urine Vitamin C by Visible Spectrum Based on Ultra-Dimensionality Reduction and Information Enhancement Technology. 基于超降维和信息增强技术的尿液维生素C可见光谱判别分析。

IF 2.3

Journal of biophotonics Pub Date : 2026-06-01 DOI: 10.1002/jbio.70311

Wanqiang Pan, Zhilong Cai, Linxi Xu, Haofei Wang, Jingjun Wu, Ping Yang, Zhiliang Zhao, Chengbo Yang

引用次数: 0

Using Principal Components Analysis to Visualize Motion and Mitigate Artifacts in Dynamic Optical Coherence Tomography. 使用主成分分析可视化运动和减轻伪影在动态光学相干断层扫描。