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Acquisition Time for Resting-State HbO/Hb Coupling Measured by Functional Near-Infrared Spectroscopy in Assessing Autism. 用功能性近红外光谱法测量静息状态 HbO/Hb 耦合以评估自闭症的采集时间。
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-04 DOI: 10.1002/jbio.202400150
Fang Lin
{"title":"Acquisition Time for Resting-State HbO/Hb Coupling Measured by Functional Near-Infrared Spectroscopy in Assessing Autism.","authors":"Fang Lin","doi":"10.1002/jbio.202400150","DOIUrl":"10.1002/jbio.202400150","url":null,"abstract":"<p><p>Functional near-infrared spectroscopy was used to record spontaneous hemodynamic fluctuations form the bilateral temporal lobes in 25 children with autism spectrum disorder (ASD) and 22 typically developing (TD) children. The coupling between oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (Hb) was calculated by Pearson correlation coefficient, showing significant difference between ASD and TD, thus the coupling could be a characteristic feature for ASD. To evaluate the discrimination ability of the feature obtained in different acquisition times, the receiver operating characteristic curve (ROC) was constructed and the area under curve (AUC) was calculated. The results showed AUC > 0.8 when the time duration was longer than 1.5 min, but longer than 4 min, AUC value (~0.87) hardly varied, implying the maximal discrimination ability reached. This study demonstrated the coupling could be one of characteristic features for ASD even acquired in a short measurement time.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental Study on the Process and Performance of Laser-Assisted Vascular Anastomosis Based on Response Surface Methodology. 基于响应面方法的激光辅助血管吻合术过程和性能实验研究
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-05 DOI: 10.1002/jbio.202400217
Jun Huang, Mintao Yan, Yanyu Li, Tongyu Xu, Kehong Wang
{"title":"Experimental Study on the Process and Performance of Laser-Assisted Vascular Anastomosis Based on Response Surface Methodology.","authors":"Jun Huang, Mintao Yan, Yanyu Li, Tongyu Xu, Kehong Wang","doi":"10.1002/jbio.202400217","DOIUrl":"10.1002/jbio.202400217","url":null,"abstract":"<p><p>The selection of an appropriate vascular anastomosis process has an important impact on the surgical treatment of coronary artery disease. In this paper, a laser-assisted vascular anastomosis process test was carried out based on the response surface experimental method, and the interaction of laser process parameters on the bursting pressure strength and thermal damage of the anastomotic incision was analyzed, and the relationship model between process parameters and anastomotic performance of the vascular incision tissues was established, and the optimal welding process parameters were obtained. The results show that the laser power has a significant effect on the bursting pressure strength of the anastomotic incision; the interaction of laser power and scanning speed has a substantial impact on the thermal damage of the anastomotic incision; and the anastomotic incision has the best comprehensive performance when the laser power is 6.2 W, the scanning speed is 206 mm/s, and the defocus is 2 mm.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Noninvasive Detection of the Skin Structure and Inversed Retrieval of Chromophore Information Based on Diffuse Reflectance Spectroscopy. 基于漫反射光谱的皮肤结构无创检测和色素信息反向检索。
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-24 DOI: 10.1002/jbio.202400118
Jinyao Wang, Dong Li, Bin Chen
{"title":"Noninvasive Detection of the Skin Structure and Inversed Retrieval of Chromophore Information Based on Diffuse Reflectance Spectroscopy.","authors":"Jinyao Wang, Dong Li, Bin Chen","doi":"10.1002/jbio.202400118","DOIUrl":"10.1002/jbio.202400118","url":null,"abstract":"<p><p>The detection of skin's structure lays the foundation for personalized laser surgery of vascular skin disease, which can be noninvasively achieved by diffuse reflectance spectroscopy (DRS). A two-step inverse Monte Carlo radiation method based on DRS under two source-detector separations was proposed to quantify the skin structure, including chromophore concentration (melanin f <sub>m</sub> and hemoglobin f <sub>b</sub>), epidermal thickness t <sub>epi</sub>, average vessel diameter D <sub>ves</sub>, depth d <sub>pws</sub> and thickness t <sub>pws</sub> of the vascular layer for diseased skin. The method fitted the simulated DRS to the measured DRS iteratively, differences between which were described by a specific objective function to amplify blood absorption at 500-600 nm, and D <sub>ves</sub>, d <sub>pws</sub>, and t <sub>pws</sub> were estimated based on f <sub>m</sub>, f <sub>b</sub>, and t <sub>pws</sub> fitted in the first step. The results showed that the two-step method dramatically improve the inversion accuracy with mean errors of f <sub>m</sub>, f <sub>b</sub>, t <sub>pws</sub>, and d <sub>pws</sub> less than 5%.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optical Transparency Windows in Near-Infrared and Short-Wave Infrared for the Skin, Skull, and Brain: Fluorescence Bioimaging Using PbS Quantum Dots. 用于皮肤、头骨和大脑的近红外和短波红外光学透明窗口：使用 PbS 量子点的荧光生物成像。
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-24 DOI: 10.1002/jbio.202400171
Jinghan Qu, Iuliia Golovynska, Jiantao Liu, Junle Qu, Sergii Golovynskyi
{"title":"Optical Transparency Windows in Near-Infrared and Short-Wave Infrared for the Skin, Skull, and Brain: Fluorescence Bioimaging Using PbS Quantum Dots.","authors":"Jinghan Qu, Iuliia Golovynska, Jiantao Liu, Junle Qu, Sergii Golovynskyi","doi":"10.1002/jbio.202400171","DOIUrl":"10.1002/jbio.202400171","url":null,"abstract":"<p><p>Fluorescence imaging (FI) employing near-infrared (NIR) light within the range of ~750-1350 nm enables biomedical imaging several millimeters beneath the tissue surface. More recent investigations into the short-wave IR (SWIR) transparency windows between ~1550-1870 and 2100-2300 nm highlight their superior capabilities. This research presents a comparison of IR-FI of PbS quantum dots, emitting at 990, 1310, and 1580 nm, through the mouse scalp skin, skull, and brain. The SWIR fluorescence is the most effectively transmitted signal, showing particularly significant enhancement when passing through the skull, which causes high light scattering. For the analysis of the imaging results and light propagation through the organs, their spectra of attenuation, absorption, and scattering coefficients are measured. In view of biomedical imaging, attenuation due to light scattering is a more destructive factor. Hence, the spatial resolution and imaging contrast can be improved by operating in SWIR due to decreased light scattering.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blood Plasma Film Multifractal Scanning in COVID-19 Consequences Diagnostics. COVID-19 后果诊断中的血浆膜多分形扫描。
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-26 DOI: 10.1002/jbio.202400356
Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Ivan Gordey, Jun Zheng, Zhebo Chen, Lin Bin
{"title":"Blood Plasma Film Multifractal Scanning in COVID-19 Consequences Diagnostics.","authors":"Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Ivan Gordey, Jun Zheng, Zhebo Chen, Lin Bin","doi":"10.1002/jbio.202400356","DOIUrl":"10.1002/jbio.202400356","url":null,"abstract":"<p><p>A 3D phase scanning method was applied to study blood plasma facies, generating layered polarization maps of the object field. The most sensitive parameters to changes in birefringence distribution were identified. Multifractal analysis using wavelet transforms and fractal dimension spectra provided specific insights into the scale self-similarity of the polarization maps. The multifractal spectra of ellipticity distributions were algorithmically derived, revealing that the third- and fourth-order statistical moments were most sensitive to changes in the supramolecular networks of the facies. These findings were successfully applied to differentiate post-COVID-19 effects with high accuracy.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning. 通过高光谱成像和深度学习揭示胸腺瘤类型。
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-10-03 DOI: 10.1002/jbio.202400325
Qize Lv, Ke Liang, ChongXuan Tian, YanHai Zhang, YunZe Li, JinLin Deng, WeiMing Yue, Wei Li
{"title":"Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning.","authors":"Qize Lv, Ke Liang, ChongXuan Tian, YanHai Zhang, YunZe Li, JinLin Deng, WeiMing Yue, Wei Li","doi":"10.1002/jbio.202400325","DOIUrl":"10.1002/jbio.202400325","url":null,"abstract":"<p><p>Thymoma, a rare tumor from thymic epithelial cells, presents diagnostic challenges because of the subjective nature of traditional methods, leading to high false-negative rates and long diagnosis times. This study introduces a thymoma classification technique that integrates hyperspectral imaging with deep learning. We initially capture pathological slice images of thymoma using a hyperspectral camera and delineate regions of interest to extract spectral data. This data undergoes reflectance calibration and noise reduction. Subsequently, we transform the spectral data into two-dimensional images via the Gramian Angular Field (GAF) method. A variant residual network is then utilized to extract features and classify these images. Our results demonstrate that this model significantly enhances classification accuracy and efficiency, achieving an average accuracy of 95%. The method proves highly effective in automated thymoma diagnosis, optimizing data utilization, and feature representation learning.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dictionary Learning Method Based on K-Sparse Approximation and Orthogonal Procrustes Analysis for Reconstruction in Bioluminescence Tomography. 基于 K-解析逼近和正交 Procrustes 分析的字典学习法用于生物发光断层摄影术的重建
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-10-07 DOI: 10.1002/jbio.202400308
Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen, Chengyi Gao, Huangjian Yi, Xin Cao
{"title":"Dictionary Learning Method Based on K-Sparse Approximation and Orthogonal Procrustes Analysis for Reconstruction in Bioluminescence Tomography.","authors":"Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen, Chengyi Gao, Huangjian Yi, Xin Cao","doi":"10.1002/jbio.202400308","DOIUrl":"10.1002/jbio.202400308","url":null,"abstract":"<p><p>Bioluminescence tomography (BLT) is one kind of noninvasive optical molecular imaging technology, widely used to study molecular activities and disease progression inside live animals. By combining the optical propagation model and inversion algorithm, BLT enables three-dimensional imaging and quantitative analysis of light sources within organisms. However, challenges like light scattering and absorption in tissues, and the complexity of biological structures, significantly impact the accuracy of BLT reconstructions. Here, we propose a dictionary learning method based on K-sparse approximation and Orthogonal Procrustes analysis (KSAOPA). KSAOPA uses an iterative alternating optimization strategy, enhancing solution sparsity with k-coefficients Lipschitzian mappings for sparsity(K-LIMAPS) in the sparse coding stage, and reducing errors with Orthogonal Procrustes analysis in the dictionary update stage, leading to stable and precise reconstructions. We assessed the method performance through simulations and in vivo experiments, which showed that KSAOPA excels in localization accuracy, morphological recovery, and in vivo applicability compared to other methods.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sparse-View Photoacoustic Reconstruction Method for Diabetic Retinopathy Using Feature Fusion Network. 使用特征融合网络的糖尿病视网膜病变稀疏视图光声重建方法
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-10-08 DOI: 10.1002/jbio.202400287
Xiaohan Chang, Lingbo Cai, Jianlei Wang, Hongyang Dong, Jing Han, Chun Wang
{"title":"Sparse-View Photoacoustic Reconstruction Method for Diabetic Retinopathy Using Feature Fusion Network.","authors":"Xiaohan Chang, Lingbo Cai, Jianlei Wang, Hongyang Dong, Jing Han, Chun Wang","doi":"10.1002/jbio.202400287","DOIUrl":"10.1002/jbio.202400287","url":null,"abstract":"<p><p>Diabetic retinopathy is one of the most prevalent microvascular complications of diabetes mellitus, and photoacoustic imaging is an effective method for imaging diabetic retinal vessels. Photoacoustic imaging is an emerging noninvasive imaging method based on the photoacoustic effect, which offers advantages of contrast, resolution, and depth imaging. Appropriate photoacoustic reconstruction methods are essential for obtaining high-quality photoacoustic images. In this study, a multi-input self-attention multiscale feature fusion network (SAMF-Net) is proposed for photoacoustic reconstruction. The algorithm accepts two inputs, namely the original photoacoustic signal and the traditional reconstructed image. Furthermore, a global feature extraction module based on the self-attention mechanism is employed to focus on the global information. The results demonstrate that the proposed method exhibits superior reconstruction capability under different sparse detection views. The method has instructive value for photoacoustic image reconstruction and has the potential for further application in the diagnosis of diabetic retinopathy.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Microcirculatory Dysfunction in Patients With Diabetes Mellitus Detected by a Distributed System of Wearable Laser Doppler Flowmetry Analysers. 通过可穿戴激光多普勒血流测量仪分布式系统检测糖尿病患者的微循环功能障碍。
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-10-01 DOI: 10.1002/jbio.202400297
Elena Zharkikh, Yulia Loktionova, Andrey Dunaev
{"title":"Microcirculatory Dysfunction in Patients With Diabetes Mellitus Detected by a Distributed System of Wearable Laser Doppler Flowmetry Analysers.","authors":"Elena Zharkikh, Yulia Loktionova, Andrey Dunaev","doi":"10.1002/jbio.202400297","DOIUrl":"10.1002/jbio.202400297","url":null,"abstract":"<p><p>The paper is devoted to the study of perfusion and amplitude-frequency spectra of laser Doppler flowmetry (LDF) signals in patients with diabetes mellitus (DM) in different skin areas of the upper and lower extremities using a distributed system of wearable LDF analysers. LDF measurements were performed in the areas of the fingers, toes, wrists and shins. The mean perfusion values, the amplitudes of blood flow oscillations in endothelial, neurogenic, myogenic, respiratory and cardiac frequency ranges, and the values of nutritive blood flow were analysed. The results revealed a decrease in tissue perfusion and nutritive blood flow in the lower extremities and an increase in these parameters in the upper extremities in patients with DM. A decrease in the amplitudes of endothelial and neurogenic oscillations was observed. The obtained results confirm the possibility of using wearable LDF analysers to detect differences in the blood flow regulation in normal and pathological conditions.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantitative Characterization of Zebrafish Caudal Fin Regeneration Based on Mueller Matrix OCT In Vivo. 基于 Mueller Matrix OCT 的斑马鱼尾鳍再生活体定量特征描述
Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-25 DOI: 10.1002/jbio.202400376
Zaifan Wang, Ke Li, Hui Chen, Zhifang Li, Wangbiao Li, Hui Lin, Liqin Zheng, Xiaoman Zhang, Shulian Wu
{"title":"Quantitative Characterization of Zebrafish Caudal Fin Regeneration Based on Mueller Matrix OCT In Vivo.","authors":"Zaifan Wang, Ke Li, Hui Chen, Zhifang Li, Wangbiao Li, Hui Lin, Liqin Zheng, Xiaoman Zhang, Shulian Wu","doi":"10.1002/jbio.202400376","DOIUrl":"10.1002/jbio.202400376","url":null,"abstract":"<p><p>Zebrafish serves as a valuable model for studying tissue regeneration due to their comprehensive regenerative abilities, particularly in bone tissue. In this study, a Mueller matrix optical coherence tomography (OCT) system was applied to monitor the regenerative processes of zebrafish caudal fins in vivo. The analysis focused on evaluating the thickness of the caudal fin tip and the distribution of internal bone tissue during the regenerative process. Subsequently, the effect of ectoine solution on the regeneration process was observed and discussed. Our findings revealed that the caudal fin blastema did not exhibit phase-induced polarization characteristics in the Mueller matrix OCT images. Statistical analyses indicated that the caudal fins did not fully regenerate to their original state within 21 days. Furthermore, the results suggested that ectoine solution could enhance tissue regeneration. This approach provides a method for quantifying zebrafish caudal fin regeneration and advances observation techniques for biomedical and clinical applications.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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