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":"10.1002/jbio.202500003","url":null,"abstract":"<div>\u0000 \u0000 <p>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<sup>−6</sup> to 10<sup>−1</sup> 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<sup>−6</sup> mg/mL IgG concentration in the wastewater phantom was achieved within 5 min.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"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":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}
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":"10.1002/jbio.202500087","url":null,"abstract":"<div>\u0000 \u0000 <p>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.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"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":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}
Jian Liu, Linghui Kong, Binyin Zhang, Yao Yu, Zhenhe Ma
{"title":"Depth-Dependent Color-Coded Optical Attenuation Coefficient Imaging: Assisted Examination Methods of Facial Microcirculation","authors":"Jian Liu, Linghui Kong, Binyin Zhang, Yao Yu, Zhenhe Ma","doi":"10.1002/jbio.202500074","DOIUrl":"10.1002/jbio.202500074","url":null,"abstract":"<div>\u0000 \u0000 <p>This study investigates the relationship between facial microcirculation and optical parameters using swept-source optical coherence tomography (SS-OCT). Facial microcirculation deterioration impacts skin health by causing blood stagnation and metabolic disorders, influencing optical properties like scattering and attenuation. High-resolution SS-OCT imaging revealed distinct correlations between blood flow and optical attenuation coefficient (OAC) across skin layers: epidermal OAC showed a negative correlation with blood flow (<i>r</i> = −0.29 ± 0.03), while dermal OAC demonstrated a positive correlation (<i>r</i> = −0.43 ± 0.06). Leveraging this finding, we developed a depth-encoded color OAC imaging mode that enhances facial microcirculation visualization without additional scanning. The work provides mechanistic insights into microcirculation-related skin deterioration and establishes a novel clinical tool for diagnosing and managing associated conditions.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002208","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}
Achuth Nair, Manmohan Singh, Salavat R. Aglyamov, Kirill V. Larin
{"title":"Convolutional Neural Networks Enable Direct Strain Estimation in Quasistatic Optical Coherence Elastography","authors":"Achuth Nair, Manmohan Singh, Salavat R. Aglyamov, Kirill V. Larin","doi":"10.1002/jbio.202400386","DOIUrl":"10.1002/jbio.202400386","url":null,"abstract":"<div>\u0000 \u0000 <p>Assessing the biomechanical properties of tissues can provide important information for disease diagnosis and therapeutic monitoring. Optical coherence elastography (OCE) is an emerging technology for measuring the biomechanical properties of tissues. Clinical translation of this technology is underway, and steps are being implemented to streamline data collection and processing. OCE data can be noisy, data processing can require significant manual tuning, and a single acquisition may contain gigabytes of data. In this work, we introduce a convolutional neural network-based method to translate raw OCE phase data to strain for quasistatic OCE that is ~40X faster than the conventional least squares approach by bypassing many intermediate data processing steps. The results suggest that a machine learning approach may be a valuable tool for fast, efficient, and accurate extraction of biomechanical information from raw OCE data.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059098","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}
{"title":"Development of 3D Intelligent Quantitative Phase Microscope for Sickle Cells Screening","authors":"Sautami Basu, Gyanendra Singh, Ravinder Agarwal, Vishal Srivastava","doi":"10.1002/jbio.202400512","DOIUrl":"10.1002/jbio.202400512","url":null,"abstract":"<div>\u0000 \u0000 <p>Sickle cell disease (SCD) is a genetic blood disorder causing red blood cells to deform into a sickle shape, often leading to misdiagnosis. Early detection is crucial, but traditional screening is slow and labor-intensive. This paper introduces an intelligent microscope system for automated SCD screening, reducing manual intervention. The system uses an interferometric method to capture high-resolution 3D phase images, combined with a deep learning-based UNET model for semantic segmentation of sickle and healthy cells. Various machine-learning models classify RBCs, with the Gradient boosting model achieving 94.9% accuracy. The system is scalable, user-friendly, and well suited for resource-limited settings, offering a faster, more reliable diagnostic tool. This innovation not only improves SCD detection but also sets the stage for AI-driven haematological diagnostics. Future advancements will enhance system robustness and undergo extensive clinical validation.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144055863","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}
Zhao Yizhuo, Ren Yu, Cai Hongxing, Wang Tingting, Wang Yiming, Liu Jianguo, Jing Yanmei
{"title":"A Novel Method for Rapid Measurement of Facial Blood Oxygen Saturation Using a Snapshot Multispectral Imager","authors":"Zhao Yizhuo, Ren Yu, Cai Hongxing, Wang Tingting, Wang Yiming, Liu Jianguo, Jing Yanmei","doi":"10.1002/jbio.70001","DOIUrl":"10.1002/jbio.70001","url":null,"abstract":"<div>\u0000 \u0000 <p>Blood oxygen saturation measuring is crucial for the diagnosis of disease severity. Despite the great efforts in non-contact vital signs monitoring by image photoplethysmography (IPPG) technology, the high-efficiency acquisition of transient image data is still challenging and generally requires complicated data processing processes. In this paper, we demonstrated a novel method for rapid measurement of blood oxygen saturation. A snapshot multispectral imager was employed in the proposed solution to transiently capture changes in spectral image information from facial tissue skin.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059158","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}
Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh J. Byrne
{"title":"Erratum to: Raman Spectroscopic Analysis of Human Blood Serum of Glaucoma Patients Supplemented With Macular Pigment Carotenoids","authors":"Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh J. Byrne","doi":"10.1002/jbio.70000","DOIUrl":"10.1002/jbio.70000","url":null,"abstract":"<p>J. Udensi, E. Loskutova, J. Loughman, and H. J. Byrne, “Raman Spectroscopic Analysis of Human Blood Serum of Glaucoma Patients Supplemented With Macular Pigment Carotenoids,” <i>Journal of Biophotonics</i> 17 (2024): e202400060, https://doi.org/10.1002/jbio.202400060.</p><p>This erratum corrects the second last paragraph in the Discussion section of the above article [<span>1</span>].</p><p>In the light of further evaluation of the clinical data of the ENIGMA study [<span>2, 3</span>], the authors became aware of a necessary adjustment to the final sentence of the second last paragraph of the Discussion section (4). This should read;</p><p>“In this context, the extreme cases noted in the matched patients' analysis reveals a potentially significant trend, indicating that the patients which registered the lowest baseline levels of carotenoids registered the highest impact of the supplementation regimen, whereas the patients which had the highest levels of baseline carotenoids were impacted least by supplementation.”</p><p>This modification does not change the paper's results.</p><p>The authors declare no conflicts of interest.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061744","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}
Valerie Xinhui Teo, Renzhe Bi, Sze Han Lee, James Chan, Steven Tien Guan Thng, Malini Olivo, U. S. Dinish
{"title":"Non-Invasive Depth Profiling of Base Cosmetic Formulations in the Skin Using Handheld Confocal Raman Spectroscopy","authors":"Valerie Xinhui Teo, Renzhe Bi, Sze Han Lee, James Chan, Steven Tien Guan Thng, Malini Olivo, U. S. Dinish","doi":"10.1002/jbio.202400423","DOIUrl":"10.1002/jbio.202400423","url":null,"abstract":"<div>\u0000 \u0000 <p>Ceramide-based and aqueous-based moisturizers have distinct absorption and retention characteristics in skin. Conventional methods like Transepidermal Water Loss (TEWL) and Corneometry are limited by environmental factors, and no current in vivo method measures ceramide content in skin. This research explores the use of a handheld Confocal Raman Spectroscopy (CRS) system to non-invasively analyze the absorption kinetics of these moisturizers. Measurements were taken on 40 subjects, including healthy individuals (<i>n</i> = 20) and those with atopic dermatitis (<i>n</i> = 20). Results showed that ceramide-based creams retained ceramide in the stratum corneum for longer periods, particularly 24 h post-application, compared to aqueous-based creams. Validation against Liquid Chromatography-Mass Spectrometry (LCMS) for ceramide NP in four healthy subjects showed a strong correlation (<i>r</i> = 0.96). These findings suggest that handheld CRS can improve the evaluation of skincare formulations, advancing the development of personalized skincare solutions.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046394","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}
Aline Knab, Caroline Giardina, Shane T. Grey, Ewa M. Goldys, Jared M. Campbell
{"title":"Illuminating Immunity: A Systematic Review of Immune Cell Autofluorescence","authors":"Aline Knab, Caroline Giardina, Shane T. Grey, Ewa M. Goldys, Jared M. Campbell","doi":"10.1002/jbio.202400576","DOIUrl":"10.1002/jbio.202400576","url":null,"abstract":"<p>Immunophenotyping provides valuable prognostic and diagnostic information, but is technically complex and expensive. The assessment of autofluorescence is label-free and provides complex information on cell identity. However, research on its application to immunophenotyping has been heterogenous. This systematic review was carried out to identify and synthesise all available evidence on the use of autofluorescence for immunophenotyping. Eighty three full texts were included. There was a focus on neutrophils (20 papers) and macrophages (22 papers) with alveolar macrophages (13 papers) forming a subcategory. Seven studies investigated monocytes, three focused on microglia, two on dendritic cells, five on mast cells, nine on granulocytes, thirteen on eosinophils, one on erythrophagocytic cells, and one on natural killer cells. Eleven studies investigated uncategorised immune cell populations. Translation of findings into clinical immunophenotyping requires the application of reproducible methods, along with clear reporting of excitation and emission parameters, and a greater focus on clinical and primary samples.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400576","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672122","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}