Journal of Biophotonics最新文献_第2页

Ultrabroadband two-beam coherent anti-Stokes Raman scattering and spontaneous Raman spectroscopy of organic fluids: A comparative study 有机流体的超宽带双光束相干反斯托克斯拉曼散射和自发拉曼光谱：比较研究。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-09 DOI: 10.1002/jbio.202300505

Timea Koch, Roland Ackermann, Axel Stoecker, Tobias Meyer-Zedler, Thomas Gabler, Tom Lippoldt, Jeannine Missbach-Guentner, Christoph Russmann, Jürgen Popp, Stefan Nolte

{"title":"Ultrabroadband two-beam coherent anti-Stokes Raman scattering and spontaneous Raman spectroscopy of organic fluids: A comparative study","authors":"Timea Koch, Roland Ackermann, Axel Stoecker, Tobias Meyer-Zedler, Thomas Gabler, Tom Lippoldt, Jeannine Missbach-Guentner, Christoph Russmann, Jürgen Popp, Stefan Nolte","doi":"10.1002/jbio.202300505","DOIUrl":"10.1002/jbio.202300505","url":null,"abstract":"Spontaneous Raman spectroscopy is a well-established diagnostic tool, allowing for the identification of all Raman active species with a single measurement. Yet, it may suffer from low-signal intensity and fluorescent background. In contrast, coherent anti-Stokes Raman scattering (CARS) offers laser-like signals, but the traditional approach lacks the multiplex capability of spontaneous Raman spectroscopy. We present an ultrabroadband CARS setup which aims at exciting the full spectrum (300–3700 cm−1) of biological molecules. A dual-output optical parametric amplifier provides a ~7 fs pump/Stokes and a ~700 fs probe pulse. CARS spectra of DMSO, ethanol, and methanol show great agreement with spontaneous Raman spectroscopy and superiority in fluorescent environments. The spectral resolution proves sufficient to differentiate between the complex spectra of L-proline and hydroxyproline. Moreover, decay constants in the sub picosecond range are determined for individual Raman transitions, providing an additional approach for sample characterization.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202300505","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141565427","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

Relationship between amide ratio assessed by Fourier-transform infrared spectroscopy: A biomarker candidate for polycythemia vera disease 傅立叶变换红外光谱法评估的酰胺比率之间的关系：多发性红细胞症的候选生物标志物

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-08 DOI: 10.1002/jbio.202400162

Zozan Guleken, Aynur Aday, Ayşe Gül Bayrak, İpek Yönal Hindilerden, Meliha Nalçacı, Jozef Cebulski, Joanna Depciuch

引用次数: 0

Toward noncontact macroscopic imaging of multiple cancers using multi-spectral inelastic scattering detection 利用多光谱非弹性散射检测技术实现多发性癌症的非接触式宏观成像。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-04 DOI: 10.1002/jbio.202400087

Sandryne David, Nassim Ksantini, Frédérick Dallaire, Katherine Ember, François Daoust, Guillaume Sheehy, Costas G. Hadjipanayis, Kevin Petrecca, Brian C. Wilson, Frédéric Leblond

{"title":"Toward noncontact macroscopic imaging of multiple cancers using multi-spectral inelastic scattering detection","authors":"Sandryne David, Nassim Ksantini, Frédérick Dallaire, Katherine Ember, François Daoust, Guillaume Sheehy, Costas G. Hadjipanayis, Kevin Petrecca, Brian C. Wilson, Frédéric Leblond","doi":"10.1002/jbio.202400087","DOIUrl":"10.1002/jbio.202400087","url":null,"abstract":"Here we introduce a Raman spectroscopy approach combining multi-spectral imaging and a new fluorescence background subtraction technique to image individual Raman peaks in less than 5 seconds over a square field-of-view of 1-centimeter sides with 350 micrometers resolution. First, human data is presented supporting the feasibility of achieving cancer detection with high sensitivity and specificity – in brain, breast, lung, and ovarian/endometrium tissue – using no more than three biochemically interpretable biomarkers associated with the inelastic scattering signal from specific Raman peaks. Second, a proof-of-principle study in biological tissue is presented demonstrating the feasibility of detecting a single Raman band – here the CH2/CH3 deformation bands from proteins and lipids – using a conventional multi-spectral imaging system in combination with the new background removal method. This study paves the way for the development of a new Raman imaging technique that is rapid, label-free, and wide field.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499958","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

The effect of low-dose photodynamic therapy using the photosensitizer chloroaluminum phthalocyanine on a scratch wound model in skin fibroblasts 使用光敏剂氯铝酞菁的低剂量光动力疗法对皮肤成纤维细胞划痕伤口模型的影响。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-04 DOI: 10.1002/jbio.202400033

Efstathios Giannakopoulos, Annita Katopodi, Michail Rallis, Konstantinos Politopoulos, Eleni Alexandratou

{"title":"The effect of low-dose photodynamic therapy using the photosensitizer chloroaluminum phthalocyanine on a scratch wound model in skin fibroblasts","authors":"Efstathios Giannakopoulos, Annita Katopodi, Michail Rallis, Konstantinos Politopoulos, Eleni Alexandratou","doi":"10.1002/jbio.202400033","DOIUrl":"10.1002/jbio.202400033","url":null,"abstract":"Different approaches on wound healing have been developed over the years but they suffer from high costs and adverse effects for the patients. The current paper was designed to study low dose PDT, a novel healing approach, in an in vitro fibroblasts wound healing model. Chloroaluminum phthalocyanine (AlClPc) was used as photosensitizer and was activated by a red diode laser at 661 nm. After PDT optimization, wound closure rate and reactive oxygen species were quantified by image processing and analysis. Our results revealed that wound healing rates were significantly higher in PDT treated groups than in the control. Additionally, the study revealed that a prolonged ROS increase did not promote wound closure, while a small increase acted as a trigger, resulting in faster wound closure. Concluding, low dose PDT using AlClPc enhances wound healing in vitro in a ROS dependent manner, allowing the assumption of similar positive effects in vivo.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499957","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

Unpaired fundus image enhancement based on constrained generative adversarial networks 基于约束生成式对抗网络的非配对眼底图像增强。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-04 DOI: 10.1002/jbio.202400168

Luyao Yang, Shenglan Yao, Pengyu Chen, Mei Shen, Suzhong Fu, Jiwei Xing, Yuxin Xue, Xin Chen, Xiaofei Wen, Yang Zhao, Wei Li, Heng Ma, Shiying Li, Valery V. Tuchin, Qingliang Zhao

{"title":"Unpaired fundus image enhancement based on constrained generative adversarial networks","authors":"Luyao Yang, Shenglan Yao, Pengyu Chen, Mei Shen, Suzhong Fu, Jiwei Xing, Yuxin Xue, Xin Chen, Xiaofei Wen, Yang Zhao, Wei Li, Heng Ma, Shiying Li, Valery V. Tuchin, Qingliang Zhao","doi":"10.1002/jbio.202400168","DOIUrl":"10.1002/jbio.202400168","url":null,"abstract":"Fundus photography (FP) is a crucial technique for diagnosing the progression of ocular and systemic diseases in clinical studies, with wide applications in early clinical screening and diagnosis. However, due to the nonuniform illumination and imbalanced intensity caused by various reasons, the quality of fundus images is often severely weakened, brings challenges for automated screening, analysis, and diagnosis of diseases. To resolve this problem, we developed strongly constrained generative adversarial networks (SCGAN). The results demonstrate that the quality of various datasets were more significantly enhanced based on SCGAN, simultaneously more effectively retaining tissue and vascular information under various experimental conditions. Furthermore, the clinical effectiveness and robustness of this model were validated by showing its improved ability in vascular segmentation as well as disease diagnosis. Our study provides a new comprehensive approach for FP and also possesses the potential capacity to advance artificial intelligence-assisted ophthalmic examination.","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499959","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

Subpixel motion artifacts correction and motion estimation for 3D-OCT 用于 3D-OCT 的亚像素运动伪影校正和运动估算。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-02 DOI: 10.1002/jbio.202400104

Xiao Zhang, Haozhe Zhong, Sainan Wang, Bin He, Liangqi Cao, Ming Li, Miaowen Jiang, Qin Li

{"title":"Subpixel motion artifacts correction and motion estimation for 3D-OCT","authors":"Xiao Zhang, Haozhe Zhong, Sainan Wang, Bin He, Liangqi Cao, Ming Li, Miaowen Jiang, Qin Li","doi":"10.1002/jbio.202400104","DOIUrl":"10.1002/jbio.202400104","url":null,"abstract":"A number of hardware-based and software-based strategies have been suggested to eliminate motion artifacts for improvement of 3D-optical coherence tomography (OCT) image quality. However, the hardware-based strategies have to employ additional hardware to record motion compensation information. Many software-based strategies have to need additional scanning for motion correction at the expense of longer acquisition time. To address this issue, we propose a motion artifacts correction and motion estimation method for OCT volumetric imaging of anterior segment, without requirements of additional hardware and redundant scanning. The motion correction effect with subpixel accuracy for in vivo 3D-OCT has been demonstrated in experiments. Moreover, the physiological information of imaging object, including respiratory curve and respiratory rate, has been experimentally extracted using the proposed method. The proposed method offers a powerful tool for scientific research and clinical diagnosis in ophthalmology and may be further extended for other biomedical volumetric imaging applications.","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":"141494680","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

Stitching method for panoramic nail fold images based on capillary contour enhancement 基于毛细血管轮廓增强的指甲褶皱全景图像拼接方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-02 DOI: 10.1002/jbio.202400105

Jianan Lin, Hao Yin, Yanxiong Wu, Jiaxiong Luo, Qianyao Ye, Bin Zhou, Mugui Xie, Cong Ye, Junzhao Liang, Xiaosong Li, Wei Bin, Zhimin Yang

{"title":"Stitching method for panoramic nail fold images based on capillary contour enhancement","authors":"Jianan Lin, Hao Yin, Yanxiong Wu, Jiaxiong Luo, Qianyao Ye, Bin Zhou, Mugui Xie, Cong Ye, Junzhao Liang, Xiaosong Li, Wei Bin, Zhimin Yang","doi":"10.1002/jbio.202400105","DOIUrl":"10.1002/jbio.202400105","url":null,"abstract":"Nail fold capillaroscopy is an important means of monitoring human health. Panoramic nail fold images improve the efficiency and accuracy of examinations. However, the acquisition of panoramic nail fold images is seldom studied and the problem manifests of few matching feature points when image stitching is used for such images. Therefore, this paper presents a method for panoramic nail fold image stitching based on vascular contour enhancement, which first solves the problem of few matching feature points by pre-processing the image with contrast-constrained adaptive histogram equalization (CLAHE), bilateral filtering (BF), and sharpening algorithms. The panoramic images of the nail fold blood vessels are then successfully stitched using the fast robust feature (SURF), fast library of approximate nearest neighbors (FLANN) and random sample agreement (RANSAC) algorithms. The experimental results show that the panoramic image stitched by this paper's algorithm has a field of view width of 7.43 mm, which improves the efficiency and accuracy of diagnosis.","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":"141494679","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

Ovarian cancer identification technology based on deep learning and second harmonic generation imaging 基于深度学习和二次谐波成像的卵巢癌识别技术。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-02 DOI: 10.1002/jbio.202400200

Bingzi Kang, Siyu Chen, Guangxing Wang, Yuhang Huang, Han Wu, Jiajia He, Xiaolu Li, Gangqin Xi, Guizhu Wu, Shuangmu Zhuo

{"title":"Ovarian cancer identification technology based on deep learning and second harmonic generation imaging","authors":"Bingzi Kang, Siyu Chen, Guangxing Wang, Yuhang Huang, Han Wu, Jiajia He, Xiaolu Li, Gangqin Xi, Guizhu Wu, Shuangmu Zhuo","doi":"10.1002/jbio.202400200","DOIUrl":"10.1002/jbio.202400200","url":null,"abstract":"Ovarian cancer is among the most common gynecological cancers and the eighth leading cause of cancer-related deaths among women worldwide. Surgery is among the most important options for cancer treatment. During surgery, a biopsy is generally required to screen for lesions; however, traditional case examinations are time consuming and laborious and require extensive experience and knowledge from pathologists. Therefore, this study proposes a simple, fast, and label-free ovarian cancer diagnosis method that combines second harmonic generation (SHG) imaging and deep learning. Unstained fresh human ovarian tissues were subjected to SHG imaging and accurately characterized using the Pyramid Vision Transformer V2 (PVTv2) model. The results showed that the SHG imaged collagen fibers could quantify ovarian cancer. In addition, the PVTv2 model could accurately differentiate the 3240 SHG images obtained from our imaging collection into benign, normal, and malignant images, with a final accuracy of 98.4%. These results demonstrate the great potential of SHG imaging techniques combined with deep learning models for diagnosing the diseased ovarian tissues.","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":"141494678","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

Mueller matrix polarimetry approach for noninvasive glucose sensing with absorbance and anisotropic parameters on fingertips 用穆勒矩阵极坐标法在指尖上测量吸光度和各向异性参数，实现无创葡萄糖传感。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2024-07-02 DOI: 10.1002/jbio.202400052

Po-Ling Huang, Yu-Lung Lo, Yu-Ren Chen, Chih-Yi Liu

{"title":"Mueller matrix polarimetry approach for noninvasive glucose sensing with absorbance and anisotropic parameters on fingertips","authors":"Po-Ling Huang, Yu-Lung Lo, Yu-Ren Chen, Chih-Yi Liu","doi":"10.1002/jbio.202400052","DOIUrl":"10.1002/jbio.202400052","url":null,"abstract":"A Mueller matrix polarimetry system at 532 nm wavelength is developed for noninvasive glucose sensing in turbid media such as human's fingertip. The system extracts mean absorbance and anisotropic properties, demonstrated numerically and experimentally with phantom glucose samples. It is found that mean absorbance (<math>\u0000 <msub>\u0000 <mi>A</mi>\u0000 <mi>e</mi>\u0000 </msub></math>), depolarization index (Δ), and linear dichroism (LD) show linear variation with glucose concentration 100–500 mg/dL. In addition, LightTools simulations indicate proportional scaling of scattering effects with <math>\u0000 <msub>\u0000 <mi>A</mi>\u0000 <mi>e</mi>\u0000 </msub></math>, Δ, and LD. Real-world tests on fingertip show a strong correlation between these properties and blood glucose levels with a mean absolute relative deviation (MARD) of 12.56% and a correlation coefficient (R2) of 0.875 in prediction by a neural network (NN) model, highlighting the advantages of Mueller matrix in extracting more parameters related to blood glucose.","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":"141478259","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

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