Journal of Biophotonics最新文献

Photoacoustic Microscopy: Technological Advances, Biomedical Applications, and Future Perspectives 光声显微镜：技术进步、生物医学应用和未来展望。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-10-16 DOI: 10.1002/jbio.70375

Xiao-Meng Zhang, Hang Yin, Zhen-Shuo Li, Ke-Xin Song, Ning Liu, Kun Liu

{"title":"Photoacoustic Microscopy: Technological Advances, Biomedical Applications, and Future Perspectives","authors":"Xiao-Meng Zhang, Hang Yin, Zhen-Shuo Li, Ke-Xin Song, Ning Liu, Kun Liu","doi":"10.1002/jbio.70375","DOIUrl":"10.1002/jbio.70375","url":null,"abstract":"<div>\u0000 \u0000 <p>Photoacoustic microscopy (PAM) is a powerful subbranch of photoacoustic imaging that achieves microscale spatial resolution and subcellular-level visualization by exploiting endogenous optical contrast, cross-scale capacity, and multiparametric functional readouts. Despite these strengths, clinical translation of PAM is impeded by technical bottlenecks in scanning speed, optical–acoustic coupling, and image reconstruction. This narrative review synthesizes recent engineering breakthroughs that are overcoming these limitations, including advanced scanning architectures, fiber laser sources, high-sensitivity transducers (e.g., CMUTs and transparent ultrasonic detectors), and deep learning–assisted reconstruction algorithms such as attention-based U-Nets and generative adversarial networks. We further highlight representative biomedical applications across dermatology, cerebrovascular hemodynamics, ophthalmology, and gastrointestinal endoscopy, illustrating PAM's versatile diagnostic potential. Finally, we discuss persistent challenges, such as miniaturization, depth penetration, and regulatory hurdles, and propose translational strategies to accelerate PAM's evolution from a laboratory research tool to a mainstream precision medicine imaging modality.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198759","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

AI-Assisted Basal Cell Carcinoma Analysis in Line-Field Confocal OCT: Exploring Diagnostic Metrics 人工智能辅助的线场共聚焦OCT基底细胞癌分析：探索诊断指标。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-10-13 DOI: 10.1002/jbio.70374

Otto Dideriksen, Kevin Jacobsen, Gavrielle R. Untracht, Peter Alshede Philipsen, Merete Haedersdal, Vinzent Kevin Ortner

{"title":"AI-Assisted Basal Cell Carcinoma Analysis in Line-Field Confocal OCT: Exploring Diagnostic Metrics","authors":"Otto Dideriksen, Kevin Jacobsen, Gavrielle R. Untracht, Peter Alshede Philipsen, Merete Haedersdal, Vinzent Kevin Ortner","doi":"10.1002/jbio.70374","DOIUrl":"10.1002/jbio.70374","url":null,"abstract":"<p>Artificial Intelligence (AI)-assisted line-field confocal optical coherence tomography (LC-OCT) may support the clinical diagnosis of basal cell carcinoma (BCC). The current model produces frame-level BCC scores (0%–100%), but interpretation is challenging due to false positive frames. We present two novel scan-level metrics: the composite score (percentage of frames scoring 100% per scan) and the stability score (longest sequence of consecutive 100%-score-frames per scan). LC-OCT videos (<i>n</i> = 568) from 82 lesions from 52 patients were analyzed, including 18 BCCs and 64 non-BCCs. Both scores were significantly higher for BCCs than for non-BCCs (<i>p</i> < 0.0001). An exploratory threshold of 48 consecutive frames with 100% AI scores yielded 100% sensitivity (95% CI: 81.5%–100%) and 100% specificity (95% CI: 94.4%–100%). In conclusion, scan-level composite and stability scores demonstrate consistent separation between BCC and non-BCC lesions; however, external validation in independent cohorts is required before clinical implementation.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149187237","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

Optical Characterization of Gram-Positive and Gram-Negative Biofilms Using Swept-Source Optical Coherence Tomography and Deep Learning 利用扫描源光学相干断层扫描和深度学习对革兰氏阳性和革兰氏阴性生物膜进行光学表征。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-10-11 DOI: 10.1002/jbio.70372

Nafisa Sultana, Abhishek Banerjee, Priyank Saxena, Raju Poddar

{"title":"Optical Characterization of Gram-Positive and Gram-Negative Biofilms Using Swept-Source Optical Coherence Tomography and Deep Learning","authors":"Nafisa Sultana, Abhishek Banerjee, Priyank Saxena, Raju Poddar","doi":"10.1002/jbio.70372","DOIUrl":"10.1002/jbio.70372","url":null,"abstract":"<div>\u0000 \u0000 <p>Biofilms are microbial communities enclosed in a matrix that increases antibiotic tolerance and underlies persistent device-associated infections, making label-free, non-destructive characterization important. Established differences in cell-wall structure between Gram-positive and Gram-negative bacteria are expected to alter light scattering, motivating the hypothesis that the two groups differ in optical attenuation. This proof-of-concept study tested that optical prediction using optical coherence tomography. The optical attenuation coefficient was extracted from cross-sectional images. Gram-positive biofilms showed higher attenuation than Gram-negative biofilms, with every cross-group comparison significant, while species within each group were statistically indistinguishable, indicating a Gram-level descriptor. Two deep-learning classifiers separated the groups with over 97% accuracy because the attenuation distributions overlap minimally; this demonstrates the feasibility of automation rather than a requirement for deep learning. The attenuation differences are consistent with the hypothesis presented in the study, suggesting that these structural differences may contribute to the observed optical contrast.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149171879","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-Enhanced Fiber-Optic Raman Spectroscopy for In Situ Oral Cancer Classification 机器学习增强的光纤拉曼光谱用于口腔癌原位分类。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-10-09 DOI: 10.1002/jbio.70373

Xianchang Li, Shiding zhang, Haijun Yang, Hao Wu, Kaiwen Yang, Xiang Zhu, Shi Zhou, Lifeng Zhang, Jiming Hu

{"title":"Machine Learning-Enhanced Fiber-Optic Raman Spectroscopy for In Situ Oral Cancer Classification","authors":"Xianchang Li, Shiding zhang, Haijun Yang, Hao Wu, Kaiwen Yang, Xiang Zhu, Shi Zhou, Lifeng Zhang, Jiming Hu","doi":"10.1002/jbio.70373","DOIUrl":"10.1002/jbio.70373","url":null,"abstract":"<div>\u0000 \u0000 <p>A portable Raman spectroscopy system was developed for in vivo diagnosis of oral squamous cell carcinoma (OSCC) in clinical settings. 46 patients with histopathologically confirmed OSCC were involved. The preprocessed dataset was used to train four supervised machine learning classifiers, support vector machine (SVM), k-nearest neighbors (KNN), ensemble algorithms (EA), and linear discriminant analysis (LDA), under a stratified ten-fold cross-validation scheme. Comparative evaluation demonstrated that SVM achieved perfect classification accuracy (100%), outperforming LDA (96.6%), EA (90.7%), and KNN (83.3%). SVM performance was evaluated against retained PC count to assess robustness and generalizability. The area under the receiver operating characteristic curve (AUC-ROC) remained above 80% with two PCs and increased to 96% when eight PCs were retained. These findings underscore the clinical translational potential of machine learning driven Raman spectroscopy, with high discriminative power and generalizability for oral cancer.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149140070","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

Full Spectrum Raman Spectroscopy Combined With Deep Learning for Prediction of Tensile Mechanical Properties of Human Cortical Bone 全光谱拉曼光谱结合深度学习预测人类皮质骨的拉伸力学性能。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-10-07 DOI: 10.1002/jbio.70371

Muhammet Varli, Sasidhar Uppuganti, Jeffry S. Nyman, Ahmet Kayabasi, Mustafa Unal

{"title":"Full Spectrum Raman Spectroscopy Combined With Deep Learning for Prediction of Tensile Mechanical Properties of Human Cortical Bone","authors":"Muhammet Varli, Sasidhar Uppuganti, Jeffry S. Nyman, Ahmet Kayabasi, Mustafa Unal","doi":"10.1002/jbio.70371","DOIUrl":"10.1002/jbio.70371","url":null,"abstract":"<div>\u0000 \u0000 <p>Type 2 diabetes mellitus (T2DM) alters bone quality at the matrix level in ways that current methods do not fully capture. Raman spectroscopy provides molecular information on bone composition and is well suited to probing such alterations. Full-spectrum Raman data were acquired from cortical bone of fresh-frozen cadaveric femurs from 60 non-diabetic and 60 T2DM donors (equal numbers of men and women, aged 50–97 years), followed by uniaxial tensile testing. Machine learning (ML) models (random forest [RF], gradient boosting machine [GBM], adaptive boosting [AdaBoost], stacking) and a one-dimensional convolutional neural network (1D CNN) were trained on the full spectrum to predict tensile properties. A combined 1D CNN and multilayer perceptron (MLP) model that added clinical variables (age, sex, group) reached the highest performance, with <i>R</i><sup>2</sup> values from 0.83 to 0.89, while spectral-only models also performed well. These findings show that full-spectrum Raman analysis with deep learning (DL) predicts tensile mechanical behavior of human cortical bone. SHapley Additive exPlanations (SHAP) analysis further showed that collagen associated spectral regions, rather than mineral-related regions, were the primary contributors to the model predictions.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149129541","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

Functional and Biochemical Optical Imaging Techniques and Advances in Skin Disease Detection and Assessment 皮肤疾病检测与评估的功能与生化光学成像技术与进展。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-10-03 DOI: 10.1002/jbio.70370

Wenhui Sun, Ellen Ruiqi Yin, Yushi Chen, Tianyue Li, Linwei Shang, Jianhua Yin, Huijie Wang

{"title":"Functional and Biochemical Optical Imaging Techniques and Advances in Skin Disease Detection and Assessment","authors":"Wenhui Sun, Ellen Ruiqi Yin, Yushi Chen, Tianyue Li, Linwei Shang, Jianhua Yin, Huijie Wang","doi":"10.1002/jbio.70370","DOIUrl":"10.1002/jbio.70370","url":null,"abstract":"<div>\u0000 \u0000 <p>Optical imaging can acquire various types of information from different skin levels, supporting non-invasive diagnosis and dynamic monitoring. This article analyzes typical functional and biochemical optical imaging modalities providing clear interpretable information and reviews their applications in skin disease detection. It compares their information characteristics, unique diagnostic capabilities, clinical status, current limitations, and translational requirements. However, no single modality can fully characterize the complex pathological changes and multidimensional features of skin lesions because imaging depth, spatial resolution, and information specificity cannot be optimized simultaneously. Multimodal imaging is therefore essential for integrating complementary structural, functional, and molecular information and providing a more comprehensive representation of lesion heterogeneity. This review further examines major multimodal fusion strategies and discusses challenges including cross-modal registration, information redundancy, and unified representation. Developing adaptive multimodal imaging and fusion frameworks that effectively capture and integrate multidimensional diagnostic information represents an important direction toward more accurate skin disease assessment.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149120713","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

Skin Color Bias in Neonatal Transcutaneous Bilirubin Measurement: A Diffuse Reflectance Spectroscopy Approach With Melanin Correction 新生儿经皮胆红素测量中的肤色偏差：一种带有黑色素校正的漫反射光谱方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-09-29 DOI: 10.1002/jbio.70368

Chitra Ranganathan, Shanthi Prince, Adithya Saba, Ashok Chandrasekaran

{"title":"Skin Color Bias in Neonatal Transcutaneous Bilirubin Measurement: A Diffuse Reflectance Spectroscopy Approach With Melanin Correction","authors":"Chitra Ranganathan, Shanthi Prince, Adithya Saba, Ashok Chandrasekaran","doi":"10.1002/jbio.70368","DOIUrl":"10.1002/jbio.70368","url":null,"abstract":"<div>\u0000 \u0000 <p>Commercial jaundice meters rely on reflectance data from specific wavelengths for Transcutaneous bilirubin (TcB) measurements. However, skin color bias is introduced due to melanin contribution. In this study, we evaluated melanin concentration as an objective indicator of neonatal skin pigmentation and assessed the performance of melanin corrected TcB measurements (TcB<sub>corr</sub>). A total of 333 neonates were categorized into four groups using the Neomar skin color scale. Melanin concentration estimated from neonatal reflectance spectra strongly correlated with Neomar classification (Spearman's <i>r</i> = 0.90), with group differences confirmed by Kruskal–Wallis and Dunn's tests. TcB<sub>corr</sub> values showed good agreement with total serum bilirubin (TSB) across all color groups with minimal bias (−0.06 to 0.11 mg/dL). Compared with commercial TcB<sub>meter</sub> readings, skin color bias is reduced, particularly in the darker groups (colors 3 and 4). Chromophore-decoupled diffuse reflectance spectroscopy offers a skin color unbiased, clinically reliable approach for TcB measurements across diverse populations.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149083394","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

Two-Photon Fluorescence and Second-Harmonic Generation Microscopy: Principles and Biomedical Applications 双光子荧光和二次谐波世代显微镜：原理和生物医学应用。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-09-29 DOI: 10.1002/jbio.70369

Kausalya Neelavara Makkithaya, Gagan Raju, Subir Das, Ajeetkumar Patil, Rajesh Kumar, Yury V. Kistenev, Guan-Yu Zhuo, Nirmal Mazumder

{"title":"Two-Photon Fluorescence and Second-Harmonic Generation Microscopy: Principles and Biomedical Applications","authors":"Kausalya Neelavara Makkithaya, Gagan Raju, Subir Das, Ajeetkumar Patil, Rajesh Kumar, Yury V. Kistenev, Guan-Yu Zhuo, Nirmal Mazumder","doi":"10.1002/jbio.70369","DOIUrl":"10.1002/jbio.70369","url":null,"abstract":"<p>Two-photon microscopy (TPM) has revolutionized biological imaging by enabling high-resolution, deep-tissue visualization with reduced photobleaching and photodamage. This review discusses complementary nonlinear optical imaging modalities such as two-photon fluorescence (TPF), second-harmonic generation (SHG), and fluorescence lifetime imaging (FLIM) microscopy that together provide structural, molecular, and metabolic information. The review begins by introducing the basic principles, instrumentation, and capabilities of two-photon fluorescence microscopy and FLIM. Followed by the development of SHG microscopy, highlighting advances from conventional SHG imaging to polarization-resolved, circular dichroism, and Stokes–Mueller polarimetric approaches. The biomedical applications of these complementary techniques are subsequently discussed, followed by an overview of multimodal imaging strategies that combine structural, molecular, and functional information. Collectively, these modalities represent a versatile and rapidly evolving imaging toolkit with broad potential to advance biomedical research, disease diagnosis, and precision medicine.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13623537/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149083359","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

Study of a Frugal Design Picosecond Laser System for Laser-Assisted Corneal Surgery 激光辅助角膜手术中皮秒激光系统的研究

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-09-28 DOI: 10.1002/jbio.70356

Maxime Quirke, Anaïs Langlois, Théo Guilberteau, Pierre Balage, Thomas Hemery, Valentine Saunier, Florent Deloison, Inka Manek-Hönninger, David Touboul, John Lopez

{"title":"Study of a Frugal Design Picosecond Laser System for Laser-Assisted Corneal Surgery","authors":"Maxime Quirke, Anaïs Langlois, Théo Guilberteau, Pierre Balage, Thomas Hemery, Valentine Saunier, Florent Deloison, Inka Manek-Hönninger, David Touboul, John Lopez","doi":"10.1002/jbio.70356","DOIUrl":"https://doi.org/10.1002/jbio.70356","url":null,"abstract":"<p>Femtosecond lasers have long been the gold standard for corneal laser-assisted surgery, but their high cost limits widespread use. This study challenges their supremacy by investigating a cost-effective alternative: a frugal all-fiber picosecond laser source. We first conduct a pump-probe experiment to characterize cavitation bubbles in water based on the laser pulse's temporal profile. Picosecond pulses concentrate energy in a confined volume near the focal point, allowing for more precise material interaction than femtosecond pulses. A distortion in the temporal profile, often seen as a flaw, paradoxically further reduces cavitation bubble size. These findings are then applied to ex vivo porcine cornea cutting tests. Results show that 1.5 ps pulses with a distorted profile create sharp, consistent cuts. This study reveals that a cost-effective picosecond laser can rival femtosecond lasers in precision, paving the way for more accessible corneal laser-assisted surgery.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149068402","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

Household LED Light-Mediated Photodynamic Therapy for Effective Inhibition of Multidrug-Resistant Staphylococcus aureus 家用LED光动力疗法有效抑制多重耐药金黄色葡萄球菌。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2026-09-22 DOI: 10.1002/jbio.70358

Lama Misba, Farheen Akhtar, Sameera Mujahid, Asad U. Khan

{"title":"Household LED Light-Mediated Photodynamic Therapy for Effective Inhibition of Multidrug-Resistant Staphylococcus aureus","authors":"Lama Misba, Farheen Akhtar, Sameera Mujahid, Asad U. Khan","doi":"10.1002/jbio.70358","DOIUrl":"10.1002/jbio.70358","url":null,"abstract":"<div>\u0000 \u0000 <p>This study evaluates toluidine blue-O and curcumin (CUR) as photosensitizers (PSs) for photodynamic therapy against <i>Staphylococcus aureus</i>, each activated using a household light-emitting diode bulb selected to approximate the absorption profiles of the respective PS. The colony-forming unit (CFU) assay revealed time-dependent bacterial reductions, achieving 4.85 log<sub>10</sub> CFU/mL at 10 min for TBO and 4.26 log<sub>10</sub> CFU/mL at 15 min for CUR under their respective LED illumination conditions. Extracellular polymeric substance production decreased by 96.22% with TBO and 48.98% with CUR, accompanied by enhanced reactive oxygen species generation. Confocal laser scanning microscopy provided semi-quantitative evidence of an increased dead-to-live cell ratio following PDT. In vivo results, supported by histopathological examination and cytokine expression profiling, demonstrated modest but significant bacterial load reduction and improved tissue architecture following TBO- and CUR-mediated PDT. These findings suggest that readily available household LED bulbs may serve as accessible illumination sources for aPDT against <i>S. aureus</i>.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149027133","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