Journal of biophotonics最新文献

A Novel Approach to Sequential Organ Failure Assessment (SOFA) Using Near-Infrared Spectroscopy in Extracorporeal Membrane Oxygenation (ECMO) Patients. 使用近红外光谱对体外膜氧合（ECMO）患者进行顺序器官衰竭评估（SOFA）的新方法。

Journal of biophotonics Pub Date : 2025-05-16 DOI: 10.1002/jbio.202500032

Chia-Wei Sun, Chun-Yeh Wang, Yu-Han Zheng, Yi-Min Wang, Hsiao-Huang Chang

{"title":"A Novel Approach to Sequential Organ Failure Assessment (SOFA) Using Near-Infrared Spectroscopy in Extracorporeal Membrane Oxygenation (ECMO) Patients.","authors":"Chia-Wei Sun, Chun-Yeh Wang, Yu-Han Zheng, Yi-Min Wang, Hsiao-Huang Chang","doi":"10.1002/jbio.202500032","DOIUrl":"https://doi.org/10.1002/jbio.202500032","url":null,"abstract":"Extracorporeal membrane oxygenation (ECMO) is a medical device that provides temporary external circulation and respiratory support during heart-lung procedures, substituting for heart and lung function to alleviate their burden and allow more time for treatment. This study employs the sequential organ failure assessment (SOFA) to evaluate the severity of illness in ECMO patients and utilizes noninvasive near-infrared spectroscopy (NIRS) to monitor lower limb microcirculation. By extracting and selecting features, blood oxygen information is input into machine learning models for classification and regression analysis. The results indicated that the classification accuracy for disease severity reached 90% for veno-venous (VV-ECMO) and veno-arterial (VA-ECMO) patients, demonstrating the efficacy of combining NIRS with machine learning in clinically distinguishing disease severity. Additionally, the regression analysis yielded excellent performance. These findings underscore the effectiveness of NIRS in assessing disease severity among ECMO patients, offering valuable clinical guidance for optimizing ECMO settings, adjusting cardiovascular medication dosages, and predicting patient prognosis.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500032"},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082958","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

Application of Upper Limb Multimodal Tasks Combined With fNIRS Technology in the Assessment of Mild Cognitive Impairment. 上肢多模态任务联合近红外光谱技术在轻度认知障碍评估中的应用。

Journal of biophotonics Pub Date : 2025-05-14 DOI: 10.1002/jbio.202500020

Zhenda You, Ying Liu, Zengyong Li, Jixiao Liu, Jian Li

引用次数: 0

Shining a Light on the Future of Biophotonics. 照亮生物光子学的未来。

Journal of biophotonics Pub Date : 2025-05-14 DOI: 10.1002/jbio.202500148

Francesco Baldini, Kishan Dholakia, Paul French, Orlando Guntinas-Lichius, Achim Kohler, Werner Mäntele, Laura Marcu, Ronald Sroka, Siva Umapathy, Juergen Popp

{"title":"Shining a Light on the Future of Biophotonics.","authors":"Francesco Baldini, Kishan Dholakia, Paul French, Orlando Guntinas-Lichius, Achim Kohler, Werner Mäntele, Laura Marcu, Ronald Sroka, Siva Umapathy, Juergen Popp","doi":"10.1002/jbio.202500148","DOIUrl":"https://doi.org/10.1002/jbio.202500148","url":null,"abstract":"Biophotonics-the interdisciplinary fusion of light-based technologies with biology and medicine-is rapidly transforming research, diagnostics, and therapy across various domains. This white paper, developed in conjunction with the International Congress on Biophotonics 2024, offers a comprehensive overview of the current landscape and future potential of biophotonics. It discusses core technologies such as bioimaging, biosensing, and photonic-based therapies, while highlighting novel applications in oncology, infectious diseases, neurology, cardiovascular health, agriculture, food safety, and environmental monitoring. The document also explores key enablers, including artificial intelligence, novel materials, and quantum biophotonics, along with critical challenges related to standardization, regulation, and clinical translation. A SWOT analysis and recommendations are provided to guide future research, commercialization, and interdisciplinary collaboration, underscoring biophotonics as a cornerstone of next-generation precision medicine and the One Health approach.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500148"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046322","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

Mid-IR Imaging Can Detect Waste Heat Production in the Nematode Caenorhabditis elegans. 中红外成像可以检测秀丽隐杆线虫产生的废热。

Journal of biophotonics Pub Date : 2025-05-14 DOI: 10.1002/jbio.202500078

Ryan A Merritt, Kegan Heaney, Nuren Shuchi, Kacy L Gordon, Susan R Trammell

引用次数: 0

MEMS-Based Portable Reflection Confocal Microscope for In Vivo Skin Imaging. 基于mems的便携式反射共聚焦显微镜用于体内皮肤成像。

Journal of biophotonics Pub Date : 2025-05-13 DOI: 10.1002/jbio.202500098

Shuo Wang, Dewen Xu, Lin Ji, Yulong Liu, Yunhai Zhang, Xin Miao

引用次数: 0

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。

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":"https://doi.org/10.1002/jbio.202500123","url":null,"abstract":"Background: 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.Objective: This study aims to discern HT and PTC spectral characteristics using HSI and evaluate deep learning models for pathologic diagnostic effects.Methods: 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.Results: 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.Conclusion: The model effectively identifies spectral differences between HT and PTC, offering a novel approach for precise thyroid disease diagnosis.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500123"},"PeriodicalIF":0.0,"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":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

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。

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

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。

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

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。

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":"https://doi.org/10.1002/jbio.202500087","url":null,"abstract":"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.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500087"},"PeriodicalIF":0.0,"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":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

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

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":"https://doi.org/10.1002/jbio.202500003","url":null,"abstract":"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 (10-6 to 10-1 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 10-6 mg/mL IgG concentration in the wastewater phantom was achieved within 5 min.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500003"},"PeriodicalIF":0.0,"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":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