Journal of Biophotonics最新文献

筛选
英文 中文
Visible Blue Light Does Not Induce DNA Damage in Human Dermal Fibroblasts 可见蓝光不会诱导人皮肤成纤维细胞DNA损伤。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-03-04 DOI: 10.1002/jbio.202400510
Margaret Kabakova, Jennifer Wang, Julia Stolyar, Evan Austin, Jared Jagdeo
{"title":"Visible Blue Light Does Not Induce DNA Damage in Human Dermal Fibroblasts","authors":"Margaret Kabakova,&nbsp;Jennifer Wang,&nbsp;Julia Stolyar,&nbsp;Evan Austin,&nbsp;Jared Jagdeo","doi":"10.1002/jbio.202400510","DOIUrl":"10.1002/jbio.202400510","url":null,"abstract":"<div>\u0000 \u0000 <p>Photobiomodulation (PBM) is a noninvasive treatment modality that utilizes light to influence cellular activity. PBM has applications in various dermatological conditions. As blue light (BL, 400–500 nm) therapy gains popularity, concerns about its potential to induce DNA damage remain. This study investigates the effects of fluorescent BL (417 ± 5 nm) on human dermal fibroblast DNA, specifically examining the formation of cyclobutane pyrimidine dimers (CPD) and 6-4 photoproducts (6-4PPs) at fluences of 10, 30, and 45 J/cm<sup>2</sup>. Our results demonstrate that BL exposure does not induce detectable DNA damage, in contrast to the well-documented effects of ultraviolet light, which is known to cause such damage. These findings support the safety of fluorescent BL therapy and align with prior research on LED-red and LED-near-infrared wavelengths. Continued clinical investigation of the effects of BL on skin will add to the understanding of the safety profile.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545437","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
Effect of Sequential Repetitive Transcranial Magnetic Stimulation With Bilateral Arm Training on the Brain Effective Connectivity in Chronic Stroke 连续重复经颅磁刺激联合双侧手臂训练对慢性脑卒中患者脑有效连通性的影响。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-03-04 DOI: 10.1002/jbio.202400508
Wenhao Li, Ping Cao, Ran Wei, Duo Wai-Chi Wong
{"title":"Effect of Sequential Repetitive Transcranial Magnetic Stimulation With Bilateral Arm Training on the Brain Effective Connectivity in Chronic Stroke","authors":"Wenhao Li,&nbsp;Ping Cao,&nbsp;Ran Wei,&nbsp;Duo Wai-Chi Wong","doi":"10.1002/jbio.202400508","DOIUrl":"10.1002/jbio.202400508","url":null,"abstract":"<div>\u0000 \u0000 <p>This study investigated the effects of combining repetitive transcranial magnetic stimulation (rTMS) with bilateral arm training (BAT) on effective brain connectivity in chronic stroke patients using functional near-infrared spectroscopy. Fifteen post-stroke patients and fifteen healthy individuals were enrolled. Coupling function analysis was performed to evaluate the effective connectivity inflow, outflow, and the dominant information flow (DIF) during standalone BAT and combined rTMS-BAT therapy. Significant task-related alterations were observed in the ipsilesional supplementary motor area and occipital lobe (OL) of stroke patients undergoing rTMS-BAT. During BAT, stroke patients exhibited more pronounced DIF from the OL to motor areas compared to healthy controls. Furthermore, in the rTMS-BAT condition, patients demonstrated enhanced DIF from the ipsilesional OL and contralesional prefrontal cortex to ipsilesional motor areas. These findings suggested a potential synergistic effect on cortical reorganization through the sequential combination of task-related training and TMS in chronic stroke patients, offering insights into rehabilitation strategies.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545341","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
Investigating the Impact of Long-Term Alcohol Consumption on Serum Chemical Changes: Fourier Transform Infrared Spectroscopy for Human Blood Serum 研究长期饮酒对血清化学变化的影响:傅立叶变换红外光谱法测定人血清。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-03-04 DOI: 10.1002/jbio.202400550
Zozan Guleken, Devrim Sarıbal, Hasan Mırsal, Jozef Cebulski, Zeynep Ceylan, Joanna Depciuch
{"title":"Investigating the Impact of Long-Term Alcohol Consumption on Serum Chemical Changes: Fourier Transform Infrared Spectroscopy for Human Blood Serum","authors":"Zozan Guleken,&nbsp;Devrim Sarıbal,&nbsp;Hasan Mırsal,&nbsp;Jozef Cebulski,&nbsp;Zeynep Ceylan,&nbsp;Joanna Depciuch","doi":"10.1002/jbio.202400550","DOIUrl":"10.1002/jbio.202400550","url":null,"abstract":"<div>\u0000 \u0000 <p>Chronic alcohol consumption significantly impacts physiological and neurological functions. This study aimed to investigate the biochemical alterations in serum associated with long-term alcohol use using Fourier Transform Infrared (FTIR) spectroscopy. Serum samples from control and alcohol use disorder (AUD) were analyzed, and their spectra were compared. Multivariate analysis techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were employed to differentiate the groups. A machine learning model, Grid Search-Support Vector Machine Discriminant Analysis (GS-SVMDA), was developed to classify samples with high accuracy. Significant differences in the absorbance values of specific functional groups, particularly those associated with phospholipids, amides, and fatty acids revealed. The AUD exhibited lower levels of these biomolecules. The models achieved perfect classification, demonstrating the potential ofFTIR spectroscopy as a non-invasive tool for diagnosing AUD. Findings contribute to a better understanding of the biochemical mechanisms underlying alcohol addiction and may aid in the development of novel diagnostic and therapeutic strategies.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545352","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
High-Throughput and Stain-Free Morphological Analysis of Sperm Using Optofluidic Time-Stretch Imaging Flow Cytometry 利用光流体时间拉伸成像流式细胞术对精子进行高通量和无染色形态学分析
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-03-01 DOI: 10.1002/jbio.202400560
Yueyun Weng, Yujie Zou, Yan Jin, Shubin Wei, Feng Zhang, Rubing Li, Liye Mei, Dongyong Yang, Zhimin Deng, Rui Qu, Dongdong Tang, Du Wang, Fuling Zhou, Sheng Liu, Tailang Yin, Cheng Lei
{"title":"High-Throughput and Stain-Free Morphological Analysis of Sperm Using Optofluidic Time-Stretch Imaging Flow Cytometry","authors":"Yueyun Weng,&nbsp;Yujie Zou,&nbsp;Yan Jin,&nbsp;Shubin Wei,&nbsp;Feng Zhang,&nbsp;Rubing Li,&nbsp;Liye Mei,&nbsp;Dongyong Yang,&nbsp;Zhimin Deng,&nbsp;Rui Qu,&nbsp;Dongdong Tang,&nbsp;Du Wang,&nbsp;Fuling Zhou,&nbsp;Sheng Liu,&nbsp;Tailang Yin,&nbsp;Cheng Lei","doi":"10.1002/jbio.202400560","DOIUrl":"10.1002/jbio.202400560","url":null,"abstract":"<div>\u0000 \u0000 <p>The incidence of male infertility has kept increasing year by year, severely affecting the sustainability of society. Sperm morphological analysis plays an important role in assessing sperm fertility. However, current sperm morphological analysis is usually performed using microscopic images of stained sperm, which requires complex staining operations, making it difficult to achieve a comprehensive and efficient diagnosis. In this work, we propose and experimentally demonstrate sperm morphological analysis with optofluidic time-stretch (OTS) imaging flow cytometry. Specifically, we capture the stain-free sperm images with high-throughput OTS imaging flow cytometry and analyze the morphological features using a U-Net network. The analysis of 40,000 images from 20 clinical semen samples indicates that our method achieves higher accuracy than the smear test and shows high concordance with the results using comprehensive methods of routine semen examination. This work provides a high-throughput, stain-free sperm morphological analysis method, which holds promise for a comprehensive evaluation of semen.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532272","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
Accurate Estimation of Methemoglobin and Oxygen Saturation in Skin Tissue Using Diffuse Reflectance Spectroscopy and Artificial Intelligence 利用漫反射光谱和人工智能准确估计皮肤组织中的高铁血红蛋白和氧饱和度。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-02-26 DOI: 10.1002/jbio.202400413
Isra Sahli, Wesam Bachir, Moustafa Sayem El-Daher
{"title":"Accurate Estimation of Methemoglobin and Oxygen Saturation in Skin Tissue Using Diffuse Reflectance Spectroscopy and Artificial Intelligence","authors":"Isra Sahli,&nbsp;Wesam Bachir,&nbsp;Moustafa Sayem El-Daher","doi":"10.1002/jbio.202400413","DOIUrl":"10.1002/jbio.202400413","url":null,"abstract":"<p>In this paper, we present a noninvasive method for the accurate estimation of methemoglobin concentration. The proposed technique incorporates a novel machine learning model using the artificial neural network to detect methemoglobin and oxygen saturation from the diffuse reflectance spectra of skin tissue. Sixty-six spectra were simulated using a four-layer tissue model with varying oxygen saturation and methemoglobin concentration. A multifiber probe-based DRS setup in the visible and near-infrared wavelength range was used. The best accuracy, with a mean absolute error (MAE) of 0.0392% for the concentration of methemoglobin and 0.0273% for the percentage of oxygen saturation on the created data set, was achieved. Our method was also experimentally verified using DRS spectra collected from human subjects. Consequently, the findings demonstrate the ability of broadband DRS to noninvasively differentiate subtle changes in methemoglobin and hemoglobin levels despite their overlapping spectral features.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400413","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517723","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
Hyperspectral Imaging of Uterine Fibroids 子宫肌瘤的高光谱成像。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-02-25 DOI: 10.1002/jbio.202400499
Aidan M. Therien, Jonah A. Majumder, Arielle S. Joasil, Daniella M. Fodera, Kristin M. Myers, Xiaowei Chen, Christine P. Hendon
{"title":"Hyperspectral Imaging of Uterine Fibroids","authors":"Aidan M. Therien,&nbsp;Jonah A. Majumder,&nbsp;Arielle S. Joasil,&nbsp;Daniella M. Fodera,&nbsp;Kristin M. Myers,&nbsp;Xiaowei Chen,&nbsp;Christine P. Hendon","doi":"10.1002/jbio.202400499","DOIUrl":"10.1002/jbio.202400499","url":null,"abstract":"<div>\u0000 \u0000 <p>Uterine fibroids are non-cancerous growths of the uterus that affect nearly 70%–80% of women in their lifetimes. Fibroids can cause severe pain, bleeding, and infertility. The main risk of recurrence is smaller fibroids, which are notoriously hard to detect, being missed during a surgical removal procedure, only to enlarge afterwards. In this work, hyperspectral imaging (HSI) datasets were acquired from samples from 10 patients after receiving a hysterectomy. Optical properties including absorption, scattering, and spectral morphology were extracted and fed into machine learning to classify regions as fibroid and myometrium. Top extracted optical features had significant contrast between fibroid and myometrium (<i>p</i> &lt; 0.0001) and were used to train Random Forest (AUC: 0.9985 ± 0.001, Sensitivity: 0.9534 ± 0.019, Specificity: 0.9936 ± 0.009) and Logistic Regression (AUC: 0.9397 ± 0.013, Sensitivity: 0.8405 ± 0.023, Specificity: 0.8895 ± 0.032) with strong performance across testing splits. With HSI, there is contrast between fibroid and myometrium in the human uterus.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143506665","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
High-Resolution Oil-Free Imaging of Chromosomes Using Fourier Ptychographic Microscopy 利用傅立叶平片显微镜对染色体进行高分辨率无油成像。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-02-24 DOI: 10.1002/jbio.202400534
Changliang Yu, Yuguo Tang
{"title":"High-Resolution Oil-Free Imaging of Chromosomes Using Fourier Ptychographic Microscopy","authors":"Changliang Yu,&nbsp;Yuguo Tang","doi":"10.1002/jbio.202400534","DOIUrl":"10.1002/jbio.202400534","url":null,"abstract":"<div>\u0000 \u0000 <p>In conventional microscopic imaging of chromosomes, the use of high numerical aperture (NA) oil-immersion objectives is essential. However, the use of oil-immersion objectives poses a significant challenge to automated imaging systems because it increases the risk of sample contamination and instrumental damage. The shallow depth of field (DOF) of oil-immersion objectives also demands more sophisticated mechanical focusing. Here, we introduce a chromosome oil-free microscopic imaging system based on Fourier Ptychographic Microscopy (FPM) technology. The system employs a 100×, 0.8 NA dry objective to achieve a half-pitch resolution of 194 nm at an incident wavelength of 524 nm. The reconstructed images of chromosomes surpassed the conventional imaging with a 100×, 1.25 NA oil-immersion objective. We also utilized digital refocusing methods to extend the effective DOF to ±2.4 μm. This study preliminarily validates the possibility of developing a new generation of chromosome scanners without using an oil-immersion objective.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494369","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
Scattering Reduction and Axial Resolution Enhancement in Light-Sheet Fluorescence Microscopy 光片荧光显微镜散射减少和轴向分辨率增强。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-02-23 DOI: 10.1002/jbio.202400556
Yang Zhang, Runze Li, Xianghua Yu, Hao Miao, Ruiwen Yang, Xing Li, Junwei Min, Yanlong Yang, Dan Dan, Taiqiang Dai, Liang Kong, Baoli Yao
{"title":"Scattering Reduction and Axial Resolution Enhancement in Light-Sheet Fluorescence Microscopy","authors":"Yang Zhang,&nbsp;Runze Li,&nbsp;Xianghua Yu,&nbsp;Hao Miao,&nbsp;Ruiwen Yang,&nbsp;Xing Li,&nbsp;Junwei Min,&nbsp;Yanlong Yang,&nbsp;Dan Dan,&nbsp;Taiqiang Dai,&nbsp;Liang Kong,&nbsp;Baoli Yao","doi":"10.1002/jbio.202400556","DOIUrl":"10.1002/jbio.202400556","url":null,"abstract":"<div>\u0000 \u0000 <p>Light-sheet fluorescence microscopy (LSFM) provides an ideal tool for long-term observation of live specimens due to its low photodamage and fast volumetric imaging speed. The wavefront distortions in the illumination path of LSFM will reduce the intensity and broaden the light-sheet thickness, thereby degrading the image quality. We propose to use the wavefront shaping technique to reduce the scattering effect and shrink the light-sheet thickness. Scanning the refocused laser beam to generate LS improves both the fluorescence intensity and the axial resolution. The axial resolution can be further enhanced by subtracting the two images captured via double scanning the samples with the refocused beam and the uncorrected scattered beam for each slice. The axial resolution is improved from 2.2 ± 0.3 to 1.5 ± 0.2 μm across the field of view of 270 μm × 270 μm. The effectiveness of the wavefront shaping subtraction method is demonstrated by imaging fluorescent beads and <i>Aspergillus</i> conidiophores behind a scattering medium.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143485077","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
Spectral Differentiation of Esophageal Precancerous Lesion Staging and an Improved Feature Wavelength Selection Method Based on Enhanced Fox Algorithm 食管癌前病变分期的光谱鉴别及基于增强Fox算法的特征波长选择改进方法。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-02-23 DOI: 10.1002/jbio.202400518
Jinbao Zhang, Shuangli Liu, Fanrong Wang, Li Wang, Jiamin Qin, Liming Wen, Weijia Wan
{"title":"Spectral Differentiation of Esophageal Precancerous Lesion Staging and an Improved Feature Wavelength Selection Method Based on Enhanced Fox Algorithm","authors":"Jinbao Zhang,&nbsp;Shuangli Liu,&nbsp;Fanrong Wang,&nbsp;Li Wang,&nbsp;Jiamin Qin,&nbsp;Liming Wen,&nbsp;Weijia Wan","doi":"10.1002/jbio.202400518","DOIUrl":"10.1002/jbio.202400518","url":null,"abstract":"<div>\u0000 \u0000 <p>Near-infrared (NIR) spectroscopy, known for its non-destructive, rapid, and precise nature, captures spectral responses to chemical bond changes in cancerous tissues. This provides a promising approach for accurate cancer staging and identifying spectral differences between cancerous and healthy tissues. In this study, NIR data from esophageal lesions excised via endoscopic submucosal dissection were analyzed using partial least squares discriminant analysis (PLS-DA) to classify normal tissues, low-grade, and high-grade intraepithelial neoplasia, confirming its feasibility for staging diagnosis. To enhance wavelength selection, the FOX algorithm, a swarm intelligence optimization method, is improved with two modifications: a nonlinear time-varying sigmoid transfer function and mirror selection. These enhancements are combined to form an improved FOX algorithm (iFOX) for wavelength selection. iFOX effectively enhances the algorithm's stability while enhancing classification performance.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143485079","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
External Validation of Raman Spectroscopy for Lyme Disease Diagnostics 拉曼光谱用于莱姆病诊断的外部验证。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2025-02-20 DOI: 10.1002/jbio.202400520
Isaac D. Juárez, Aidan P. Holman, Elizabeth J. Horn, Artem S. Rogovskyy, Dmitry Kurouski
{"title":"External Validation of Raman Spectroscopy for Lyme Disease Diagnostics","authors":"Isaac D. Juárez,&nbsp;Aidan P. Holman,&nbsp;Elizabeth J. Horn,&nbsp;Artem S. Rogovskyy,&nbsp;Dmitry Kurouski","doi":"10.1002/jbio.202400520","DOIUrl":"10.1002/jbio.202400520","url":null,"abstract":"<div>\u0000 \u0000 <p>Lyme disease (LD), caused by <i>Borreliella burgdorferi</i>, is the most common tick-borne illness in the United States, yet early-stage diagnosis remains challenging due to the limitations of current serological diagnostics. Raman spectroscopy (RS), paired with partial least squares discriminant analysis (PLS-DA), showed promise as an alternative diagnostic tool. Using RS, we analyzed 107 coded human blood samples (42 LD-positive and 65 LD-negative) obtained from the Lyme Disease Biobank. PLS-DA models showed nearly perfect internal validation performance with a sensitivity and specificity of 97.1% and 100.0%, respectively, indicating robust predictive capabilities. External validation of the developed chemometrics model with 80/20 training/validation split of all spectra gave true positive rates of 92.7% and 87.3% for serological positive and negative spectra, respectively. These findings highlight the potential of RS as a rapid and noninvasive diagnostic platform for LD, particularly when integrated with machine learning.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470437","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
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
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