发布求助
文献互助 智能选刊 最新文献

Journal of Biophotonics最新文献

筛选
英文 中文
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-19
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084716","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
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-19
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084715","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
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-19
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084714","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
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-19
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084717","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
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-16
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148081269","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
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-16
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148081274","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
Correction to “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning” 修正“使用多实例学习的光学时间拉伸成像流式细胞术进行结直肠癌无标记分型”。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-06 DOI: 10.1002/jbio.70265
{"title":"Correction to “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning”","authors":"","doi":"10.1002/jbio.70265","DOIUrl":"10.1002/jbio.70265","url":null,"abstract":"<p>S. Pi, L. Mei, L. Tao, S. Mei, and Z. Ye, “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning,” <i>Journal of Biophotonics</i> 18, no. 8 (2025): e70026, https://doi.org/10.1002/jbio.70026.</p><p>The first affiliation listed in the paper is corrected due to a recent institutional reform and official renaming.</p><p>Original Affiliation: School of Medicine, Wuhan City College, Wuhan, China.</p><p>Updated Affiliation: Medical Department, City University of Wuhan, Wuhan, China.</p><p>We apologize for this error.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70265","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629620","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
Stochastic Time-Resolved Opto-Electrochemical Analysis of Free Nanourchin-Conjugated Antibody Interactions With Breast Cancer Biomarkers in Serum 血清中游离纳米蛋白偶联抗体与乳腺癌生物标志物相互作用的随机时间分辨光电电化学分析。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-06 DOI: 10.1002/jbio.70263
Mohammad E. Khosroshahi, Roxana Chabok, Victor Oyebolu
{"title":"Stochastic Time-Resolved Opto-Electrochemical Analysis of Free Nanourchin-Conjugated Antibody Interactions With Breast Cancer Biomarkers in Serum","authors":"Mohammad E. Khosroshahi,&nbsp;Roxana Chabok,&nbsp;Victor Oyebolu","doi":"10.1002/jbio.70263","DOIUrl":"10.1002/jbio.70263","url":null,"abstract":"<div>\u0000 \u0000 <p>The combined opto-electrochemical (Opto-EC) platform enables non-invasive, real-time monitoring of biochemical kinetics, electron-transfer processes, and surface-binding events. Here, we detect the CA15-3 breast-cancer biomarker using free and randomly gold-nanourchin (GNU)–conjugated antibodies (mAb) within a serum droplet, integrated into a time-resolved Opto-EC immunoassay on an indium-tin-oxide (ITO) film. Biolayer formation on the ITO surface alters charge-transfer dynamics and reduces surface-potential differences. Time-resolved FT-NIR spectroscopy reveals peaks at 4083, 4555, and 5560–6000 cm<sup>−1</sup>, associated with overtone and combination bands of O<span></span>H, N<span></span>H, and mixed N<span></span>H/C<span></span>H vibrations. Stochastic FT-NIR and SERS fluctuations reflect time-dependent conformational changes, binding-site accessibility, and vibrational-mode variations. Correlation-coefficient dynamics indicate shifts in the analyte's molecular environment, influencing PCA clustering. A time-mapped Raman heatmap further tracks evolving peak positions and intensities, offering complementary insight into biomarker–sensor interactions. The free and randomly conjugated antigen–antibody system exhibits nonlinear stochastic behavior.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629652","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
Spectroscopic Quantification of Plasma Free Hemoglobin Based on Paired Domain Adaptation and Orthogonality Constraints 基于配对域自适应和正交性约束的血浆游离血红蛋白光谱定量。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-02 DOI: 10.1002/jbio.70266
Haiyue Lv, Mengqiu Zhang
{"title":"Spectroscopic Quantification of Plasma Free Hemoglobin Based on Paired Domain Adaptation and Orthogonality Constraints","authors":"Haiyue Lv,&nbsp;Mengqiu Zhang","doi":"10.1002/jbio.70266","DOIUrl":"10.1002/jbio.70266","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We propose a paired domain-adaptation deep regression method for multi-pathlength spectroscopy to quantify plasma free hemoglobin (FHB) robustly across measurement conditions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>UV–Vis–NIR spectra (300–1160 nm; 945 wavelengths) were acquired using an Avantes spectrometer, with five optical pathlengths per sample. Spectra were preprocessed by standard normal variate (SNV), and labels were log-transformed (log (1 + <i>y</i>)) to mitigate long-tailed instability. The network integrates domain–path affine calibration, a 1D-CNN encoder, and attention-based multi-path fusion, followed by shared–private feature disentanglement. A paired consistency loss aligns only the shared representation across paired domains, and an orthogonality constraint encourages domain-specific separation. Performance was evaluated via regression-stratified five-fold cross-validation using RMSE and <i>R</i><sup>2</sup> on the raw scale.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>For <i>N</i> = 251 samples, <i>λ</i><sub>pair</sub> = 1.0 achieved RMSE = 260.53 ± 62.01 and <i>R</i><sup>2</sup> = 0.748 ± 0.088.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The method improves cross-domain robustness and interpretability for plasma FHB prediction.</p>\u0000 </section>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147597211","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
Cell-MICS: Detecting Immune Cells With Label-Free Two-Photon Autofluorescence and Deep Learning 细胞- mics：利用无标记双光子自身荧光和深度学习检测免疫细胞。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2026-04-02 DOI: 10.1002/jbio.70260
Lucas Kreiss, Amey Chaware, Maryam Roohian, Sarah Lemire, Oana-Maria Thoma, Birgitta Carlé, Maximilian Waldner, Sebastian Schürmann, Oliver Friedrich, Roarke Horstmeyer
{"title":"Cell-MICS: Detecting Immune Cells With Label-Free Two-Photon Autofluorescence and Deep Learning","authors":"Lucas Kreiss,&nbsp;Amey Chaware,&nbsp;Maryam Roohian,&nbsp;Sarah Lemire,&nbsp;Oana-Maria Thoma,&nbsp;Birgitta Carlé,&nbsp;Maximilian Waldner,&nbsp;Sebastian Schürmann,&nbsp;Oliver Friedrich,&nbsp;Roarke Horstmeyer","doi":"10.1002/jbio.70260","DOIUrl":"10.1002/jbio.70260","url":null,"abstract":"<p>Multiphoton imaging has been widely used for deep-tissue imaging. Although its label-free, metabolic contrast is ideal for investigating inflammation, the label-free two-photon induced autofluorescence is often regarded as less specific compared to conventional antibody markers. In this work, we investigate the potential for multiphoton imaging with computational specificity (MICS) by training a convolutional neural network on images of different immune cells. A low-complexity squeezeNet architecture was able to achieve reliable immune cell classification results (0.89 ROC-AUC, 0.95 PR-AUC for binary classification between T cells and neutrophils; 0.689 F1 score, 0.697 precision, 0.748 recall for multi-class classification between six isolated cell types). Perturbation tests confirmed that the model was not confused by the extracellular environment and that 2P-AF from NADH and FAD is equally important for the classification. In the future, deep learning could provide computational specificity for specific immune cells in unstained tissues, with great potential for label-free in vivo endomicroscopy.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13044570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147597242","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书