Biomedical optics express最新文献_第7页

Quantitative assessment of thrombosis-induced blood oxygenation change in deep tissues based on photoacoustic tomography: an ex vivo study. 基于光声断层成像的深部组织血栓形成诱导的血氧变化的定量评估：一项离体研究。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-24 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.557086

Yingjie Feng, Qiuqin Mao, Lei Hong, Xiaotian Wang, Chao Tao, Xiaojun Liu

{"title":"Quantitative assessment of thrombosis-induced blood oxygenation change in deep tissues based on photoacoustic tomography: an ex vivo study.","authors":"Yingjie Feng, Qiuqin Mao, Lei Hong, Xiaotian Wang, Chao Tao, Xiaojun Liu","doi":"10.1364/BOE.557086","DOIUrl":"https://doi.org/10.1364/BOE.557086","url":null,"abstract":"The staging and classification of thrombosis hold significant clinical value for optimizing thrombus treatment strategies. In this study, we propose a quantitative method based on photoacoustic tomography for assessing thrombosis in deep tissues. By using inner chromophore signals as a correction factor, this approach minimizes the 'spectral coloring' effects caused by overlying heterogeneous tissues. Ex vivo experiments validate that the method acquires accurate spectra up to a depth of 30 mm across various tissue conditions. After calibration, the Pearson correlation coefficients calculated for the spectrum in deep tissue against the uncolored absorption spectrum is 15% higher, and the standard deviation of the Pearson correlation coefficients decreased by 58%. Sequential measurements capture time-dependent spectral changes of thrombus phantom during six days, providing a potential diagnostic reference for thrombus formation time and type. This method offers a non-invasive, practical tool for accurately quantifying thrombosis stages, which might be valuable for optimizing treatment strategies.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 4","pages":"1557-1568"},"PeriodicalIF":2.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12047737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative assessment of in vivo nuclei and layers of human skin by deep learning-based OCT image segmentation. 基于深度学习的OCT图像分割在体人体皮肤核和层的定量评估。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-21 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.558675

Chih-Hao Liu, Li-Wei Fu, Shu-Wen Chang, Yen-Jen Wang, Jen-Yu Wang, Yu-Hung Wu, Homer H Chen, Sheng-Lung Huang

{"title":"Quantitative assessment of in vivo nuclei and layers of human skin by deep learning-based OCT image segmentation.","authors":"Chih-Hao Liu, Li-Wei Fu, Shu-Wen Chang, Yen-Jen Wang, Jen-Yu Wang, Yu-Hung Wu, Homer H Chen, Sheng-Lung Huang","doi":"10.1364/BOE.558675","DOIUrl":"https://doi.org/10.1364/BOE.558675","url":null,"abstract":"Recent advancements in cellular-resolution optical coherence tomography (OCT) have opened up possibilities for high-resolution and non-invasive clinical diagnosis. This study uses deep learning-based models on cross-sectional OCT images for in vivo human skin layers and keratinocyte nuclei segmentation. With U-Net as the basic framework, a 5-class segmentation model is developed. With deeply supervised learning objective functions, the global (skin layers) and local (nuclei) features were separately considered in designing our multi-class segmentation model to achieve an > 85% Dice coefficient accuracy through 5-fold cross-validation, enabling quantitative measurements for the healthy human skin structure. Specifically, we calculate the thickness of the stratum corneum, epidermis, and the cross-sectional area of keratinocyte nuclei as 22.71 ± 17.20 µm, 66.44 ± 11.61 µm, and 17.21 ± 9.33 µm2, respectively. These measurements align with clinical findings on human skin structures and can serve as standardized metrics for clinical assessment using OCT imaging. Moreover, we enhance the segmentation accuracy by addressing the limitations of microscopic system resolution and the variability in human annotations.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 4","pages":"1528-1545"},"PeriodicalIF":2.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12047727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143967417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Label-free whole-kidney metabolic optical imaging using in vivo insulated cryofixation and cryo-micro-optical sectioning tomography. 无标记全肾代谢光学成像使用体内绝缘冷冻固定和冷冻显微光学切片断层扫描。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-21 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.554000

Guoqing Fan, Mingyu Tian, Huijuan Pan, Chuancao Sun, Haoyu Gong, Qingming Luo, Jing Yuan

引用次数: 0

Chromatic imaging properties of myopia control spectacle lenses. 近视控制眼镜镜片的色差成像特性。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-19 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.545932

Augusto Arias, Susanna P Clement, Pablo Artal, Siegfried Wahl

引用次数: 0

Polarimetry through a flexible imaging fiber bundle with a pixelated polarizer. 通过带有像素化偏振器的柔性成像光纤束进行偏振测量。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-19 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.554860

Natzem Lima, Clarissa M DeLeon, Travis W Sawyer

引用次数: 0

Identifying phenotypes of colorectal malignant tumors using the quasi-bound state in the continuum of a terahertz metasurface biosensor. 利用太赫兹超表面生物传感器连续体中的准结合状态识别结直肠恶性肿瘤的表型。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-18 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.557218

Hongji Xu, Hongye Wang, Xiang Yang, Iver Grønlien, Arthur Georg Serville Torvund, Angelos Xomalis, Zhenyu Zhao

{"title":"Identifying phenotypes of colorectal malignant tumors using the quasi-bound state in the continuum of a terahertz metasurface biosensor.","authors":"Hongji Xu, Hongye Wang, Xiang Yang, Iver Grønlien, Arthur Georg Serville Torvund, Angelos Xomalis, Zhenyu Zhao","doi":"10.1364/BOE.557218","DOIUrl":"https://doi.org/10.1364/BOE.557218","url":null,"abstract":"A rapid and non-invasive method to identify phenotypes of colorectal malignant tumors is of vital importance for oncological surgery and further development of corresponding anti-tumor drugs. Herein, we demonstrate an approach to detect colorectal adenocarcinoma and colorectal cancer using the quasi-bound state in the continuum (q-BIC) resonance of a metasurface-based terahertz biosensor. We found that the colorectal adenocarcinoma leads to a 40 GHz q-BIC resonance shift compared to healthy colorectal cells. In addition, we found that colorectal cancer results in a q-BIC resonance red-shift of about 60 to 80 GHz. Both colorectal adenocarcinoma and cancer increase the linewidth of q-BIC resonance compared to healthy colorectal cells. The electric permittivity change confirms the aforementioned frequency shift, which is attributed to the water content of different colorectal malignant tumor cells. Our results highlight that the q-BIC resonance of a terahertz photonic biosensor offers a rapid and non-invasive methodology for identifying different colorectal malignant tumors, which accelerates oncological diagnosis.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 4","pages":"1471-1482"},"PeriodicalIF":2.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12047722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143963539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Oxygen-dependent functional brain haemodynamic response. 氧依赖性功能性脑血流动力学反应。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-17 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.545722

Karolina Bejm, Stanislaw Wojtkiewicz, Zanna Pastuszak, Adam Liebert

引用次数: 0

Postoperative intraocular lens tilt from preoperative full crystalline lens geometry using machine learning. 术后人工晶状体倾斜从术前全晶状体几何使用机器学习。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-13 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.551733

Eduardo Martinez-Enriquez, Gonzalo Velarde-Rodríguez, Nicolás Alejandre-Alba, Derick Ansah, Sindhu Kishore, Álvaro de la Peña, Ramya Natarajan, Pravin Vaddavalli, Yue Zhao, Joseph O Okudolo, Dylan B McBee, Ugur Celik, Mujdat Cetin, Jen-Li Dong, Yuli Lim, Li Wang, Douglas Donald Koch, Scott MacRae, Susana Marcos

{"title":"Postoperative intraocular lens tilt from preoperative full crystalline lens geometry using machine learning.","authors":"Eduardo Martinez-Enriquez, Gonzalo Velarde-Rodríguez, Nicolás Alejandre-Alba, Derick Ansah, Sindhu Kishore, Álvaro de la Peña, Ramya Natarajan, Pravin Vaddavalli, Yue Zhao, Joseph O Okudolo, Dylan B McBee, Ugur Celik, Mujdat Cetin, Jen-Li Dong, Yuli Lim, Li Wang, Douglas Donald Koch, Scott MacRae, Susana Marcos","doi":"10.1364/BOE.551733","DOIUrl":"10.1364/BOE.551733","url":null,"abstract":"In cataract surgery, the opacified crystalline lens is replaced by an artificial intraocular lens (IOL), requiring precise preoperative selection of parameters to optimize postoperative visual quality. Three-dimensional customized eye models, which can be constructed using quantitative data from anterior segment optical coherence tomography, provide a robust platform for virtual surgery. These models enable simulations and predictions of the optical outcomes for specific patients and selected IOLs. A critical step in building these models is estimating the IOL's tilt and position preoperatively based on the available preoperative geometrical information (ocular parameters). In this study, we present a machine learning model that, for the first time, incorporates the full shape geometry of the crystalline lens as candidate input features to predict the postoperative IOL tilt. Furthermore, we identify the most relevant features for this prediction task. Our model demonstrates statistically significantly lower estimation errors compared to a simple linear correlation method, reducing the estimation error by approximately 6%. These findings highlight the potential of this approach to enhance the accuracy of postoperative predictions. Further work is needed to examine the potential for such postoperative predictions to improve visual outcomes in cataract patients.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 4","pages":"1439-1456"},"PeriodicalIF":2.9,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12047715/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variation of optical properties of mouse brain using an optical clearing agent: experimental and simulation approaches. 光学清除剂对小鼠脑光学特性的影响：实验和模拟方法。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-12 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.553567

Saeed Ziaee, Mohammad Ali Ansari, Seyyede Sarvenaz Khatami, Behnam Shariati B K, Vahid Ghotbi Maleki, Samad Nejad Ebrahimi, Valery V Tuchin

{"title":"Variation of optical properties of mouse brain using an optical clearing agent: experimental and simulation approaches.","authors":"Saeed Ziaee, Mohammad Ali Ansari, Seyyede Sarvenaz Khatami, Behnam Shariati B K, Vahid Ghotbi Maleki, Samad Nejad Ebrahimi, Valery V Tuchin","doi":"10.1364/BOE.553567","DOIUrl":"https://doi.org/10.1364/BOE.553567","url":null,"abstract":"For optical diagnosis and therapy in medicine, tracking changes in tissue refractive index (RI), absorption, and scattering coefficient is important. These characteristics may be measured using a variety of techniques. Examples of simulation and experimentation techniques for determining optical parameters are inverse Monte Carlo (IMC) simulation, integrating sphere spectroscopy (ISS), and diffuse reflectance spectroscopy (DRS). The depth of optical measurements is limited by tissue light attenuation in all methods. Using optical clearing agents (OCAs) is a common method to increase optical depth and reduce light scattering in biological tissues. Thus, optical measurement techniques employing new (OCAs) can potentially achieve greater efficiency than traditional agents. This study aims to measure the optical properties of an unsliced mouse brain in the visible spectrum using an OCA composition to clear the tissue. The mouse brain model is useful for developing neuroimaging techniques and optical monitoring of brain activity. In this study, DRS, ISS, and IMC are used to analyze the changes in the RI, absorption, and scattering coefficients of the unsliced mouse brain. A fluorescence test was additionally conducted to evaluate the efficacy of the introduced OCA in comparison to glycerol. The findings and OCA described in this study may be beneficial in optical neurostimulation and brain disease treatments.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 4","pages":"1423-1438"},"PeriodicalIF":2.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12047726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143953645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Post-operative monitoring of tissue perfusion in murine skin flaps using enhanced thermal imaging. 应用增强热成像技术监测小鼠皮瓣术后组织灌注。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2025-03-11 eCollection Date: 2025-04-01 DOI: 10.1364/BOE.551057

Madeline R Kern, Cobey L McGinnis, Didier Dréau, Susan R Trammell

引用次数: 0