Journal of Biophotonics最新文献_第5页

Deep learning classification of ex vivo human colon tissues using spectroscopic optical coherence tomography 利用光谱光学相干断层扫描对体内外人体结肠组织进行深度学习分类。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-02 DOI: 10.1002/jbio.202400082

Wesley Y. Kendall, Qinyi Tian, Shi Zhao, Seyedbabak Mirminachi, Erin O'Kane, Abel Joseph, Darin Dufault, David A. Miller, Chanjuan Shi, Jatin Roper, Adam Wax

{"title":"Deep learning classification of ex vivo human colon tissues using spectroscopic optical coherence tomography","authors":"Wesley Y. Kendall, Qinyi Tian, Shi Zhao, Seyedbabak Mirminachi, Erin O'Kane, Abel Joseph, Darin Dufault, David A. Miller, Chanjuan Shi, Jatin Roper, Adam Wax","doi":"10.1002/jbio.202400082","DOIUrl":"10.1002/jbio.202400082","url":null,"abstract":"Screening for colorectal cancer (CRC) with colonoscopy has improved patient outcomes; however, it remains the third leading cause of cancer-related mortality, novel strategies to improve screening are needed. Here, we propose an optical biopsy technique based on spectroscopic optical coherence tomography (OCT). Depth resolved OCT images are analyzed as a function of wavelength to measure optical tissue properties and used as input to machine learning algorithms. Previously, we used this approach to analyze mouse colon polyps. Here, we extend the approach to examine human biopsied colonic epithelial tissue samples ex vivo. Optical properties are used as input to a novel deep learning architecture, producing accuracy of up to 97.9% in discriminating tissue type. SOCT parameters are used to create false colored en face OCT images and deep learning classifications are used to enable visual classification by tissue type. This study advances SOCT toward clinical utility for analysis of colonic epithelium.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494677","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

Convolutional neural networks can detect orthostatic hypotension in Parkinson's disease using resting-state functional near-infrared spectroscopy data 卷积神经网络可利用静息态功能性近红外光谱数据检测帕金森病患者的正压性低血压。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-01 DOI: 10.1002/jbio.202400138

Seung Hyun Lee, Seung-Ho Paik, Shin-Young Kang, Zephaniah Phillips V, Jung Bin Kim, Byung-Jo Kim, Beop-Min Kim

{"title":"Convolutional neural networks can detect orthostatic hypotension in Parkinson's disease using resting-state functional near-infrared spectroscopy data","authors":"Seung Hyun Lee, Seung-Ho Paik, Shin-Young Kang, Zephaniah Phillips V, Jung Bin Kim, Byung-Jo Kim, Beop-Min Kim","doi":"10.1002/jbio.202400138","DOIUrl":"10.1002/jbio.202400138","url":null,"abstract":"Neurological disorders such as Parkinson's disease (PD) often adversely affect the vascular system, leading to alterations in blood flow patterns. Functional near-infrared spectroscopy (fNIRS) is used to monitor hemodynamic changes via signal measurement. This study investigated the potential of using resting-state fNIRS data through a convolutional neural network (CNN) to evaluate PD with orthostatic hypotension. The CNN demonstrated significant efficacy in analyzing fNIRS data, and it outperformed the other machine learning methods. The results indicate that judicious input data selection can enhance accuracy by over 85%, while including the correlation matrix as an input further improves the accuracy to more than 90%. This study underscores the promising role of CNN-based fNIRS data analysis in the diagnosis and management of the PD. This approach enhances diagnostic accuracy, particularly in resting-state conditions, and can reduce the discomfort and risks associated with current diagnostic methods, such as the head-up tilt test.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141478258","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

Non-invasive screening of bladder cancer using digital microfluidics and FLIM technology combined with deep learning 利用数字微流控技术、FLIM 技术和深度学习对膀胱癌进行无创筛查。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-28 DOI: 10.1002/jbio.202400192

Wenhua Su, Chenyang Xu, Jinzhong Hu, Qiushu Chen, Yuwei Yang, Mingmei Ji, Yiyan Fei, Jiong Ma, Haowen Jiang, Lan Mi

{"title":"Non-invasive screening of bladder cancer using digital microfluidics and FLIM technology combined with deep learning","authors":"Wenhua Su, Chenyang Xu, Jinzhong Hu, Qiushu Chen, Yuwei Yang, Mingmei Ji, Yiyan Fei, Jiong Ma, Haowen Jiang, Lan Mi","doi":"10.1002/jbio.202400192","DOIUrl":"10.1002/jbio.202400192","url":null,"abstract":"Non-invasive screening for bladder cancer is crucial for treatment and postoperative follow-up. This study combines digital microfluidics (DMF) technology with fluorescence lifetime imaging microscopy (FLIM) for urine analysis and introduces a novel non-invasive bladder cancer screening technique. Initially, the DMF was utilized to perform preliminary screening and enrichment of urine exfoliated cells from 54 participants, followed by cell staining and FLIM analysis to assess the viscosity of the intracellular microenvironment. Subsequently, a deep learning residual convolutional neural network was employed to automatically classify FLIM images, achieving a three-class prediction of high-risk (malignant), low-risk (benign), and minimal risk (normal) categories. The results demonstrated a high consistency with pathological diagnosis, with an accuracy of 91% and a precision of 93%. Notably, the method is sensitive for both high-grade and low-grade bladder cancer cases. This highly accurate non-invasive screening method presents a promising approach for bladder cancer screening with significant clinical application potential.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473965","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

Effects of solar radiations on stratum corneum hydration: Part II, protective action of solar filters 太阳辐射对角质层水合作用的影响：第二部分，太阳滤光片的保护作用。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400107

Ali Assi, Rime Michael-Jubeli, Hélène Duplan, Arlette Baillet-Guffroy, Ali Tfayli, Carine Jacques-Jamin

引用次数: 0

Extraction of collagen morphological features from second-harmonic generation microscopy images via GLCM and CT analyses: A cross-laboratory study 通过 GLCM 和 CT 分析从二次谐波显微镜图像中提取胶原形态特征：跨实验室研究。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400090

R. Cicchi, E. Baria, M. Mari, G. Filippidis, D. Chorvat

{"title":"Extraction of collagen morphological features from second-harmonic generation microscopy images via GLCM and CT analyses: A cross-laboratory study","authors":"R. Cicchi, E. Baria, M. Mari, G. Filippidis, D. Chorvat","doi":"10.1002/jbio.202400090","DOIUrl":"10.1002/jbio.202400090","url":null,"abstract":"Second-harmonic generation (SHG) microscopy provides a high-resolution label-free approach for noninvasively detecting collagen organization and its pathological alterations. Up to date, several imaging analysis algorithms for extracting collagen morphological features from SHG images—such as fiber size and length, order and anisotropy—have been developed. However, the dependence of extracted features on experimental setting represents a significant obstacle for translating the methodology in the clinical practice. We tackled this problem by acquiring SHG images of the same kind of collagenous sample in various laboratories using different experimental setups and imaging conditions. The acquired images were analyzed by commonly used algorithms, such as gray-level co-occurrence matrix or curvelet transform; the extracted morphological features were compared, finding that they strongly depend on some experimental parameters, whereas they are almost independent from others. We conclude with useful suggestions for comparing results obtained in different labs using different experimental setups and conditions.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473963","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

Virtual-point-based deconvolution for optical-resolution photoacoustic microscopy 用于光学分辨光声显微镜的基于虚拟点的解卷积。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400078

Rui Yao, Anthony DiSpirito, Hongje Jang, Colton Thomas McGarraugh, Van Tu Nguyen, Lingyan Shi, Junjie Yao

引用次数: 0

Raman spectroscopic analysis of human blood serum of glaucoma patients supplemented with macular pigment carotenoids 对补充了黄斑色素类胡萝卜素的青光眼患者血清进行拉曼光谱分析。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400060

Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh J. Byrne

{"title":"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.202400060","DOIUrl":"10.1002/jbio.202400060","url":null,"abstract":"As all major dietary carotenoids are contained in blood, it is a suitable substrate to evaluate their content, in vivo. Following 18-month supplementation of open-angle glaucoma patients with macula-pigment carotenoids (Lutein, Zeaxanthin and Meso-Zeaxanthin) in the European Nutrition in Glaucoma Management trial, Raman spectroscopic analysis of the carotenoid content of pre- and post-supplementation participant blood serum was carried out, to investigate the systemic impact of the supplementation regimen and explore a more direct way of quantifying this impact using routine blood tests. Using a 532 nm laser source for optimal response, a consistent increase in serum carotenoid concentration was observed in the supplemented serum, highest in patients with initial high baseline carotenoid content. A shift in the 1519 cm−1 carotenoid peak also revealed differences in the carotenoid structural profile of the two groups. The findings highlight the potential of Raman spectroscopy toquantify and differentiate carotenoids directly in blood serum.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473966","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

In vivo Raman spectroscopic and fluorescence study of suspected melanocytic lesions and surrounding healthy skin 疑似黑色素细胞病变及其周围健康皮肤的体内拉曼光谱和荧光研究。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400050

Di Wu, Anatoly Fedorov Kukk, Rüdiger Panzer, Steffen Emmert, Bernhard Roth

{"title":"In vivo Raman spectroscopic and fluorescence study of suspected melanocytic lesions and surrounding healthy skin","authors":"Di Wu, Anatoly Fedorov Kukk, Rüdiger Panzer, Steffen Emmert, Bernhard Roth","doi":"10.1002/jbio.202400050","DOIUrl":"10.1002/jbio.202400050","url":null,"abstract":"Cutaneous melanoma is the most lethal skin cancer and noninvasively distinguishing it from benign tumor is a major challenge. Raman spectroscopic measurements were conducted on 65 suspected melanocytic lesions and surrounding healthy skin from 47 patients. Compared to the spectra of healthy skin, spectra of melanocytic lesions exhibited lower intensities in carotenoid bands and higher intensities in lipid and melanin bands, suggesting similar variations in the content of these components. Distinct variations were observed among the autofluorescence intensities of healthy skin, benign nevi and malignant melanoma. By incorporating autofluorescence information, the classification accuracy of the support vector machine for spectra of healthy skin, nevi, and melanoma reached 90.2%, surpassing the 87.9% accuracy achieved without autofluorescence, with this difference being statistically significant. These findings indicate the diagnostic value of autofluorescence intensity, which reflect differences in fluorophore content, chemical composition, and structure among healthy skin, nevi, and melanoma.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141461427","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

Effect of 460 nm blue light PBM on human MeWo melanoma cells 460 纳米蓝光 PBM 对人类 MeWo 黑色素瘤细胞的影响。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400071

Haokuan Qin, Jiali Yang, Hui Jiang, Shijie Huang, Qiqi Fu, Baohua Zhu, Muqing Liu, Gaofei Chen

引用次数: 0

Combining red photobiomodulation therapy with polydioxanone threads for wrinkle reduction in the glabella region: A randomized, controlled, double-blind clinical trial 将红色光生物调节疗法与聚二氧丙酮线结合用于睑板部除皱：随机对照双盲临床试验。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-06-27 DOI: 10.1002/jbio.202400139

Paula Caroline Garcia, Danilo Peron Meireles, João Alberto Fioravante Tassinary, Christiane Pavani

{"title":"Combining red photobiomodulation therapy with polydioxanone threads for wrinkle reduction in the glabella region: A randomized, controlled, double-blind clinical trial","authors":"Paula Caroline Garcia, Danilo Peron Meireles, João Alberto Fioravante Tassinary, Christiane Pavani","doi":"10.1002/jbio.202400139","DOIUrl":"10.1002/jbio.202400139","url":null,"abstract":"The combination of polydioxanone (PDO) threads with other technologies has garnered significant interest for rejuvenation purposes. Photobiomodulation (PBM) has the potential to improve patient comfort and recovery after minimally invasive rejuvenation protocols and also contribute to the overall efficacy of these procedures, fostering an integrative approach to cutaneous rejuvenation. The objective os this work was to investigate concurrent application of PDO threads and red LED PBM on glabellar static wrinkles, in a parallel randomized sham-controlled trial. Forty individuals with Glogau aging classification levels 3 and 4, static glabellar wrinkles, and no significant comorbidities received PDO threads applied along glabellar line. Effective PBM group received 1.35 J and 630 nm red LED light punctually along threads, twice weekly for nine sessions over 30 days. The outcome measures were swelling assessment, dermal thickness and PDO thread degradation via linear ultrasound. No swelling was detected 24 h post-PDO thread application, hindering PBM effect assessment. PDO threads induced dermal thickening; no added effect with PBM. No significant difference in thread hydrolysis between groups, though some ultrasound records inconclusive on thread presence. The absence of swelling may stem from various factors, including the timing of post-procedure swelling assessment, operator proficiency in thread application, and procedural characteristics. No evidence supports the notion that PBM augments dermal thickening, however other light parameters should be studied. Insufficient data to demonstrate PBM's effectiveness in controlling post-procedure swelling. Combination of PBM with PDO thread application doesn't enhance dermal thickening, nor accelerate thread degradation at the parameters used here.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141461424","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