Journal of Biophotonics最新文献

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Application of Spatial Frequency Domain Imaging in Early Detection of Dental Caries 空间频域成像在龋病早期检测中的应用。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-03-11 Epub Date: 2025-11-12 DOI: 10.1002/jbio.202500443
Shunrong Wu, Xijie Yang, Jing Huang, Gentao Wang, Liqin Zheng, Lina Liu, Shuai Chen
{"title":"Application of Spatial Frequency Domain Imaging in Early Detection of Dental Caries","authors":"Shunrong Wu,&nbsp;Xijie Yang,&nbsp;Jing Huang,&nbsp;Gentao Wang,&nbsp;Liqin Zheng,&nbsp;Lina Liu,&nbsp;Shuai Chen","doi":"10.1002/jbio.202500443","DOIUrl":"10.1002/jbio.202500443","url":null,"abstract":"<div><p>This study employed Spatial Frequency Domain Imaging (SFDI) at a wavelength of 530 nm and a spatial frequency of 0.4 mm<sup>−1</sup> to measure the reduced scattering coefficient (<i>μ</i><sub>s</sub>′) of artificially demineralized dental tissues across various demineralization durations. Scanning electron microscope and polarized light microscope were utilized to detect surface morphology and demineralization depth. Results show that <i>μ</i><sub>s</sub>′ of dental tissue increases nonlinearly with demineralization time. <i>μ</i><sub>s</sub>′ of human dental tissue increased from 0.403 to 0.897 mm<sup>−1</sup> in 72 h, while that of bovine dental tissue increased from 0.604 to 1.420 mm<sup>−1</sup>. The demineralization depth of bovine dental tissue increased from 0 to 169.83 μm. Artificial caries models with various demineralization durations showed a positive nonlinear correlation between <i>μ</i><sub>s</sub>′ and depth of demineralization, with a correlation coefficient of 0.9673. It demonstrates SFDI's capability for nondestructive detection of early caries.</p></div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145508778","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
Quantitative Assessment of Basement Membrane Loss in Melasma Using Attenuation Coefficient Estimation Based on Optical Coherence Tomography 基于光学相干层析成像的衰减系数估计定量评估黄褐斑基底膜损失。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-03-11 Epub Date: 2025-11-26 DOI: 10.1002/jbio.202500491
Jingwen Liang, Xinyuan Cao, Ke Li, Tingting Zhu, Jianhua Mo
{"title":"Quantitative Assessment of Basement Membrane Loss in Melasma Using Attenuation Coefficient Estimation Based on Optical Coherence Tomography","authors":"Jingwen Liang,&nbsp;Xinyuan Cao,&nbsp;Ke Li,&nbsp;Tingting Zhu,&nbsp;Jianhua Mo","doi":"10.1002/jbio.202500491","DOIUrl":"10.1002/jbio.202500491","url":null,"abstract":"<div><p>Melasma is a common pigmentary disorder involving melanin deposition and structural alterations. Current diagnostic methods mainly target pigmentation and lack real-time assessment of histopathology. This study proposes a noninvasive, quantitative evaluation of basement membrane (BM) disruption in melasma using optical coherence tomography (OCT) with deep learning. Cross-sectional skin images were generated by attenuation coefficient (AC) mapping of OCT B-scans. An improved Unet (Res-Att-Unet), integrating residual and attention modules, was developed for BM segmentation. AC mapping enhanced image contrast, yielding superior BM segmentation over conventional OCT. The proposed model achieved an accuracy of 81.4%, <i>F</i>1-score of 83.8%, and IoU of 72.1%. BM loss in melasma (66.0% ± 19.8%) was significantly higher than in perilesional skin (47.2% ± 18.5%, <i>p</i> &lt; 0.001). Longitudinal monitoring revealed a significant BM recovery after tranexamic acid (TXA) treatment. These results indicate that our proposed method can be potentially used in clinic for in vivo BM assessment, aiding in melasma diagnosis.</p></div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145644094","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
Machine Learning-Based Thermal Imaging for Vulvar Intraepithelial Neoplasia Detection 基于机器学习的外阴上皮内瘤变热成像检测。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-03-11 Epub Date: 2025-11-15 DOI: 10.1002/jbio.202500157
Haonan Zeng, Shupei Qiao, Dan Li, Xuerui Zhang, Maoyu Liu, Zhuo Yang, Dan Cheng, Yingjie Qu, Shufang Chang
{"title":"Machine Learning-Based Thermal Imaging for Vulvar Intraepithelial Neoplasia Detection","authors":"Haonan Zeng,&nbsp;Shupei Qiao,&nbsp;Dan Li,&nbsp;Xuerui Zhang,&nbsp;Maoyu Liu,&nbsp;Zhuo Yang,&nbsp;Dan Cheng,&nbsp;Yingjie Qu,&nbsp;Shufang Chang","doi":"10.1002/jbio.202500157","DOIUrl":"10.1002/jbio.202500157","url":null,"abstract":"<div><p>Vulvar intraepithelial neoplasia (VIN) is increasing in prevalence, yet screening options remain limited and existing diagnostic methods show low accuracy. This study evaluates infrared thermal imaging as an alternative screening approach for VIN detection. We analyzed thermal images from 51 patients with histopathologically confirmed VIN, captured using a FLIR A400 thermal camera. Temperature distributions of healthy vulvar tissue were first characterized to establish baseline values. Thermal features of VIN lesions were then extracted and optimized using principal component analysis (PCA). Three machine learning models—support vector machine (SVM), random forest (RF), and linear discriminant analysis (LDA)—were trained and evaluated for VIN diagnosis. SVM demonstrated the best performance with an <i>F</i>1 score of 75% and accuracy of 74.19%. These findings suggest that machine learning-based infrared thermography shows promise as a non-invasive screening tool for VIN detection.</p></div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145524934","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
Application of Super-Resolution Microscopy in Virology Research: Principles, Technological Advances, and Analysis of the Viral Life Cycle 超分辨率显微镜在病毒学研究中的应用:原理、技术进展和病毒生命周期分析。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-03-11 Epub Date: 2025-11-15 DOI: 10.1002/jbio.202500461
Mengyi Liu, Luhao Zhang, Sha Huang, Yingke Xu, Changzhong Jin
{"title":"Application of Super-Resolution Microscopy in Virology Research: Principles, Technological Advances, and Analysis of the Viral Life Cycle","authors":"Mengyi Liu,&nbsp;Luhao Zhang,&nbsp;Sha Huang,&nbsp;Yingke Xu,&nbsp;Changzhong Jin","doi":"10.1002/jbio.202500461","DOIUrl":"10.1002/jbio.202500461","url":null,"abstract":"<div><p>Super-resolution microscopy (SRM) has exerted a pivotal influence on virology by surpassing the diffraction limits of conventional optical microscopy, enabling unprecedented visualization of viral structures and dynamics. Techniques such as stimulated emission depletion, photoactivated localization microscopy, stochastic optical reconstruction microscopy, and structured illumination microscopy facilitate nanoscale imaging of viruses, providing critical insights into the viral life cycle and virus-host interactions. We examine the principles and advancements in SRM techniques and their applications in virology. We discuss the development and selection of fluorescent probes, highlighting specific labeling methods. Key applications of SRM are illustrated through case studies of viruses such as influenza, HIV, and SARS-CoV-2, demonstrating the technology's impact on understanding viral mechanisms. We also explore future developments in SRM, including enhanced spatial and temporal resolution, and integration with technologies such as single-molecule imaging and fluorescence resonance energy transfer, positioning SRM as a pivotal tool for advancing viral research and therapeutic development.</p></div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145524924","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
Plasmonics-Enhanced Characterization of Cervid PrP (87–114) Fragment Aggregates in Solution 等离子体增强表征Cervid PrP(87-114)碎片聚集体在溶液中。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-03-11 Epub Date: 2025-11-26 DOI: 10.1002/jbio.202500428
Shinki Midha, Aishwarya Sriraman, Lyudmyla Dorosh, Holger Wille, Maria Stepanova
{"title":"Plasmonics-Enhanced Characterization of Cervid PrP (87–114) Fragment Aggregates in Solution","authors":"Shinki Midha,&nbsp;Aishwarya Sriraman,&nbsp;Lyudmyla Dorosh,&nbsp;Holger Wille,&nbsp;Maria Stepanova","doi":"10.1002/jbio.202500428","DOIUrl":"10.1002/jbio.202500428","url":null,"abstract":"<p>We performed a multimodal characterisation of self-assembled fibrillar aggregates formed by the residue 87–114 fragment of the white-tailed deer (WTD) prion protein (PrP), a disease-relevant region implicated in the structural conversion and transmission of chronic wasting disease (CWD) in cervids. Using an integrated experimental platform combining plasmon-enhanced bright-field microscopy, label-free surface-enhanced Raman spectroscopy (SERS), and Thioflavin T staining, we probed peptide aggregation in solution under ambient conditions. Nanostructured gold films on dielectric fused silica supports served as dual-purpose plasmonic substrates for imaging and SERS. We observed a transition from dispersed states to well-defined fibrillar networks, accompanied by spectral evolution in key backbone-sensitive SERS bands. These results establish the amide III region and tryptophan vibrational features as indicators of fibrillar architecture in SERS assays and offer new insights into the aggregation behavior of amyloidogenic sequences involved in CWD susceptibility.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12976984/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145608074","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
Autofluorescence of Renal Tissue and Its Impact on Fluorescence-Guided Lithotripsy 肾组织自身荧光及其对荧光引导碎石术的影响。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-03-11 Epub Date: 2025-11-10 DOI: 10.1002/jbio.202500430
Birgit Lange, Christopher Kren, Ralf Brinkmann
{"title":"Autofluorescence of Renal Tissue and Its Impact on Fluorescence-Guided Lithotripsy","authors":"Birgit Lange,&nbsp;Christopher Kren,&nbsp;Ralf Brinkmann","doi":"10.1002/jbio.202500430","DOIUrl":"10.1002/jbio.202500430","url":null,"abstract":"<div><p>When illuminated with green light, tissue shows negligible autofluorescence in comparison to urinary stones. In automatically controlled lithotripsy, this property is utilized to prevent the laser from being triggered if the fiber is mispositioned: the fluorescence signal is compared to a set threshold before each pulse. However, previous studies have shown that tissue damage cannot be completely ruled out. We are investigating this phenomenon and its impact on fluorescence guidance. An experiment with porcine calyx (with the automatic control switched off) shows that single Ho:YAG laser pulses are sufficient to coagulate tissue, resulting in an increase in autofluorescence. During lithotripsy of fluorescent artificial stones embedded in renal cortex, thermal damage occurs despite automatic laser control. Maximum fluorescence values measured on those tissue places were above the control's set threshold for laser emission. Therefore, an increase in autofluorescence in the event of denaturation must be considered when using automatically controlled lithotripsy.</p></div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145491111","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
Characterizing Muscle Components in Intestinal Strictures Using Spectroscopic Photoacoustic Imaging 利用光谱光声成像表征肠道狭窄的肌肉成分。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-02-11 DOI: 10.1002/jbio.70237
Xiaorui Peng, Linyu Ni, Laura Johnson, Yaocai Huang, Wei Zhang, Xueding Wang, Peter D. R. Higgins, Guan Xu
{"title":"Characterizing Muscle Components in Intestinal Strictures Using Spectroscopic Photoacoustic Imaging","authors":"Xiaorui Peng,&nbsp;Linyu Ni,&nbsp;Laura Johnson,&nbsp;Yaocai Huang,&nbsp;Wei Zhang,&nbsp;Xueding Wang,&nbsp;Peter D. R. Higgins,&nbsp;Guan Xu","doi":"10.1002/jbio.70237","DOIUrl":"10.1002/jbio.70237","url":null,"abstract":"<div>\u0000 \u0000 <p>Inflammatory bowel disease is a chronic autoimmune disease that causes obstructive intestinal strictures, characterized by inflammation, fibrosis, and muscular hypertrophy. Accurately characterizing the stricture pathology for therapeutic planning remains challenging. In our previous study, using multispectral photoacoustic (PA) imaging, we investigated the feasibility of quantifying the hemoglobin and collagen components, corresponding to the inflammation and fibrosis, respectively, in animals in vivo and human subjects. In this study, we investigated resolving the myoglobin component that is associated with muscular hypertrophy with PA imaging. We quantified the hemoglobin and myoglobin ratios in a controlled phantom. We visualized the distribution of the tissue components in porcine tissue samples ex vivo. We also examined PA imaging in quantifying tissue components in human intestinal strictures and unstrictured margin ex vivo and in rabbits in vivo. The results show that PA imaging is a promising tool for characterizing the pathology of intestinal strictures.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168652","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
Photobiomodulation Activated TGF-β1 Has Discrete Roles in Modulating Macrophage Responses to Bothrops jararacussu Venom 光生物调节激活的TGF-β1在巨噬细胞对黄颡鱼毒液的反应中具有离散作用。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-02-10 DOI: 10.1002/jbio.70238
Amanda Cabral David, Mahmud Amin, Ridham Varsani, Mein Ziu Tang, Dipti Kalshetti, José Antônio Silva Junior, Stella Regina Zamuner, Praveen Arany
{"title":"Photobiomodulation Activated TGF-β1 Has Discrete Roles in Modulating Macrophage Responses to Bothrops jararacussu Venom","authors":"Amanda Cabral David,&nbsp;Mahmud Amin,&nbsp;Ridham Varsani,&nbsp;Mein Ziu Tang,&nbsp;Dipti Kalshetti,&nbsp;José Antônio Silva Junior,&nbsp;Stella Regina Zamuner,&nbsp;Praveen Arany","doi":"10.1002/jbio.70238","DOIUrl":"10.1002/jbio.70238","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Bothrops jararacussu</i> (<i>BjsuV</i>) snake bites cause severe local and systemic effects that are counteracted with antivenom that is ineffective in preventing damage to muscle tissue and amputations. Photobiomodulation (PBM) has emerged as a promising adjunct anti-inflammatory therapy. This study investigated whether PBM can modulate macrophage functions via TGF-β1 following exposure to <i>BjsuV</i>. Cell survival, migration, and phagocytosis of macrophages were evaluated after treatments with <i>BjsuV</i>, TGF-β1, a TGF-β inhibitor—SB431542, and PBM (660 nm red or 810 nm near-infrared laser at 10 mW/cm<sup>2</sup>, 400 and 500 s, 4 J/cm<sup>2</sup>, and 5 J/cm<sup>2</sup>, 7.5 pJ/cm<sup>2</sup>, 1.7ɇ). <i>BjsuV</i>-reduced macrophage survival and migration but increased phagocytosis that was significantly counteracted by PBM treatments. These observations suggest the anti-inflammatory effects of PBM in macrophages contribute to its therapeutic potential in mitigating venom-induced multiple signaling pathways. These mechanistic insights could improve the rigor and reproducibility of future clinical PBM anti-inflammatory treatments.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159639","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
Hyperspectral–Deep-Learning Fusion for Rapid Differentiation of Adrenocortical Tumors and Pheochromocytomas 高光谱-深度学习融合快速分化肾上腺皮质肿瘤和嗜铬细胞瘤。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-02-03 DOI: 10.1002/jbio.70227
Yangyang He, Xiaojie Sun, Jingwen Xie, Zhe Yang, Jianning Wang
{"title":"Hyperspectral–Deep-Learning Fusion for Rapid Differentiation of Adrenocortical Tumors and Pheochromocytomas","authors":"Yangyang He,&nbsp;Xiaojie Sun,&nbsp;Jingwen Xie,&nbsp;Zhe Yang,&nbsp;Jianning Wang","doi":"10.1002/jbio.70227","DOIUrl":"10.1002/jbio.70227","url":null,"abstract":"<div>\u0000 \u0000 <p>Accurate differentiation between adrenocortical tumors (ACTs) and pheochromocytomas (PHEOs) remains challenging in intraoperative pathology. This study proposes a hyperspectral–deep-learning fusion framework integrating spectral and spatial features for rapid, label-free diagnosis. Using Savitzky–Golay-filtered hyperspectral data (400–1000 nm) and a lightweight dual-branch convolutional network, the model achieved an AUC of 0.96 and an accuracy of 92.8%. Mutual information-based band selection and mid-level feature fusion enhanced efficiency, while Grad-CAM and spectral sensitivity analyses revealed interpretable wavelength–feature associations corresponding to lipid and hemoglobin absorption. The proposed system demonstrates strong potential for real-time, interpretable intraoperative discrimination between cortical and medullary adrenal tumors, supporting precision endocrine surgery.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146115332","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
Application of Hyperspectral Imaging to Differentiate COPD and Normal Lung Tissue in Mouse Lung Histopathological Sections 高光谱成像在小鼠肺组织病理切片中鉴别COPD与正常肺组织的应用。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-02-03 DOI: 10.1002/jbio.70223
Zongtong Yang, Wenjuan Zhang, Aijun Zhang, Di Wang, Hui Gai, Xiaojing Li, Shenghong Zhou
{"title":"Application of Hyperspectral Imaging to Differentiate COPD and Normal Lung Tissue in Mouse Lung Histopathological Sections","authors":"Zongtong Yang,&nbsp;Wenjuan Zhang,&nbsp;Aijun Zhang,&nbsp;Di Wang,&nbsp;Hui Gai,&nbsp;Xiaojing Li,&nbsp;Shenghong Zhou","doi":"10.1002/jbio.70223","DOIUrl":"10.1002/jbio.70223","url":null,"abstract":"<div>\u0000 \u0000 <p>This study investigates the potential of hyperspectral imaging (HSI) as a label-free, quantitative tool for differentiating chronic obstructive pulmonary disease (COPD) from normal mouse lung tissues based on their intrinsic optical signatures. High-resolution HSI data (400–1000 nm) were acquired from paraffin-embedded sections and analyzed using principal component analysis (PCA) for dimensionality reduction, followed by partial least squares–discriminant analysis (PLS-DA) and support vector machine (SVM) classification. Distinct spectral disparities, particularly in hemoglobin and water-associated absorption bands, enabled accurate discrimination with classification performance exceeding 93%. These findings establish HSI as a non-destructive and objective modality capable of capturing subtle pathological alterations in pulmonary tissue, offering a robust experimental and theoretical foundation for its translation into pathological diagnostics and quantitative respiratory disease assessment.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146115398","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
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