Biomedical optics express最新文献

Functional OCT with parfocal retinal stimulation enables multi-site optoretinography under a single dark adaptation. 功能OCT与共焦视网膜刺激使单一黑暗适应下的多位点视网膜成像成为可能。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-26 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.585274

Amit Hasan Sadhin, Taeyoon Son, Shaiban Ahmed, Guangying Ma, Masrur Arefin Sadhin, Xincheng Yao

{"title":"Functional OCT with parfocal retinal stimulation enables multi-site optoretinography under a single dark adaptation.","authors":"Amit Hasan Sadhin, Taeyoon Son, Shaiban Ahmed, Guangying Ma, Masrur Arefin Sadhin, Xincheng Yao","doi":"10.1364/BOE.585274","DOIUrl":"https://doi.org/10.1364/BOE.585274","url":null,"abstract":"Functional optical coherence tomography (OCT) enables depth-resolved imaging of stimulus-evoked intrinsic optical signal (IOS) changes in the retina, providing a noninvasive method for objective optoretinography (ORG) of retinal physiology. However, IOS imaging with raster-scan OCT is limited by long acquisition times, as each recording site typically requires a separate dark-adaptation cycle. To overcome this constraint, we developed a functional OCT system with parfocal retinal stimulation, in which the visible-light stimulus and near-infrared OCT imaging beams are co-registered at the retina. This configuration confines stimulation to a local retinal region with high spatial precision, preserves dark adaptation elsewhere, and enables multi-site IOS acquisition within a single adaptation cycle. Using visible-light flashes with variable bleaching levels (1-100%), we observed robust, spatially localized IOS confined to the stimulated regions of the retina. The IOS amplitude scaled linearly with bleaching level up to approximately 20% and exhibited saturation at higher intensities, consistent with the biophysical limits of phototransduction. This parfocal stimulation strategy establishes a scalable framework for spatially and depth-resolved functional retinal mapping, providing an objective optical analogue to microperimetry and a foundation for site-specific assessment of photoreceptor physiology.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1563-1575"},"PeriodicalIF":3.2,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064622/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147669827","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

Robust spatial phase prediction from paired intensities using multi-scale wavelets and aberration sensing network. 基于多尺度小波和像差感知网络的空间相位预测。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-25 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.584766

Yihang Huang, Haitao Zhang, Yao He, Zhuoyi Yang, Xiaozheng Liu

{"title":"Robust spatial phase prediction from paired intensities using multi-scale wavelets and aberration sensing network.","authors":"Yihang Huang, Haitao Zhang, Yao He, Zhuoyi Yang, Xiaozheng Liu","doi":"10.1364/BOE.584766","DOIUrl":"https://doi.org/10.1364/BOE.584766","url":null,"abstract":"Spatial Phase Prediction from intensity image without auxiliary sensors is a challenging task due to the compressed phase information and the increase in complexity with varying optical systems. Many advanced works focus primarily on the adaptability to extended light sources, while having yet to construct a feature map that is robust and sufficient enough to represent the characteristics of the aberration, leading to some problems, such as a minimum light intensity limit, a small input size, and failing to remain optimal with different phase ranges. To tackle these problems, we apply both the Fourier transform and the multi-scale wavelet transform in the feature mapping process, constructing a high-frequency concentrated aberration feature sequence (AFS). To better adapt to the learning complexity, we formulate an effective and lightweight model, named aberration sensing convolutional neural network (ASCNN), under the supervised framework that allows efficient online computation. The results demonstrate that compared to the baseline feature, the performance of the proposed AFS improves by around 30%. Besides, the model ASCNN achieves high performance in aberration retrieval, with an average RMSE better than 0.0143λ under the initial condition of ±0.25λ, and the SSIM exceeding <math><mn>96</mn> <mrow><mi>%</mi></mrow> </math> between the reconstructed and ground-truth phases. Furthermore, the proposed method is evaluated on both scalar diffraction and the polarized SLM system to demonstrate the robustness and the broad potential for applications.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1550-1562"},"PeriodicalIF":3.2,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670247","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

Metabolic imaging of Fragilariopsis cylindrus in polar night conditions using full-field optical transmission tomography (FFOTT). 利用全视野光学透射层析成像技术（FFOTT）对极夜条件下白茅的代谢成像。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-24 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.570645

Nathalie Joli, Claude Boccara, Benjamin Bailleul, Chris Bowler, Martine Boccara

引用次数: 0

Simultaneous dual-analyte detection biosensor through a stacking-based ensemble machine learning approach: design and optimization. 同时双分析物检测生物传感器通过基于堆叠的集成机器学习方法：设计和优化。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-23 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.588881

Kawsar Ahmed, Ruhul Amin, Md Mamun Ali, Francis M Bui, Li Chen

{"title":"Simultaneous dual-analyte detection biosensor through a stacking-based ensemble machine learning approach: design and optimization.","authors":"Kawsar Ahmed, Ruhul Amin, Md Mamun Ali, Francis M Bui, Li Chen","doi":"10.1364/BOE.588881","DOIUrl":"https://doi.org/10.1364/BOE.588881","url":null,"abstract":"In this paper, a photonic crystal fiber (PCF) surface plasmon resonance (SPR) sensor capable of detecting a wide range of refractive indices (RI) from 1.15 to 1.41 is designed and optimized using a stacking-based ensemble machine learning (ML) model. The stacking model is constructed using three regression models, including the random forest regressor (RFR), the gradient boosting regressor (GBR), and the decision tree regressor (DTR). To analyze the detection capabilities and different characteristics of the sensor, the finite element method (FEM)-based perfectly matched layer (PML) is applied as a boundary condition. A chemically stable noble plasmonic material, gold (AU), with a thickness of 40 nm, is used to create the SPR effect and is placed on the outer layer of the fiber to make the sensor practically implementable. The numerical data from the FEM simulation were used to train and validate the proposed ML model. The proposed ML model provided an MSE value of 0.3584, an MAE of 0.2151, and an R2 of 0.9769. In addition, various studies were conducted to validate the proposed ML model and ensure its ability to design and optimize the multianalyte biosensor. The numerical findings demonstrate that the suggested sensor has a maximum amplitude sensitivity (AS) of -1204 RIU -1 and wavelength sensitivity (WS) of 10,000 nm/RIU. Due to its high sensitivity and simplified design, the presented sensor has the potential to be used to detect biochemical solutions, biological analytes, and gaseous molecules, with other lower RIs in the range of 0.5 to 2 μm, covering the visible to the near-infrared spectrum. The proposed ML model is highly capable and flexible for designing and optimizing multi-analyte biosensors; accordingly, it can be used for designing and optimizing other multi-analyte biosensors effectively.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1524-1539"},"PeriodicalIF":3.2,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670172","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

Enhancement of accuracy and precision of cell Young's modulus measurement: FEM optimization and algebraic compensation. 提高细胞杨氏模量测量的准确度和精度：有限元优化和代数补偿。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-23 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.589267

Lingyao Yu, Xuzheng Yang, Sen Geng, Shu Li, Xinqiang Wang, Song Ye, Jifu Mao, Jun Yin

引用次数: 0

Synergistic microscopic platform for probing molecular interaction on mitochondria-lysosome contact membrane. 探索线粒体-溶酶体接触膜上分子相互作用的协同显微平台。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-19 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.588781

Hongfei Suo, Jiayu Zhou, Yao Lu, Jiahua Chen, Juanjuan Zheng, Sha An, Kai Wen, Peng Gao, Xiaofang Wang, Tanping Li, Zeev Zalevsky, Peng Gao

{"title":"Synergistic microscopic platform for probing molecular interaction on mitochondria-lysosome contact membrane.","authors":"Hongfei Suo, Jiayu Zhou, Yao Lu, Jiahua Chen, Juanjuan Zheng, Sha An, Kai Wen, Peng Gao, Xiaofang Wang, Tanping Li, Zeev Zalevsky, Peng Gao","doi":"10.1364/BOE.588781","DOIUrl":"https://doi.org/10.1364/BOE.588781","url":null,"abstract":"In biomedicine, studies on dynamic interactions between mitochondria and lysosomes are critical for understanding cellular metabolism and disease mechanisms. Yet, the interaction mechanism on the molecular level is still unclear due to a lack of suitable investigation tools. Here, we employ a synergistic microscopic platform that integrates quantitative phase contrast microscopy (QPCM), confocal fluorescent imaging, line-scanning fluorescence resonance energy transfer (ls-FRET), and line-scanning fluorescence correlation spectroscopy (ls-FCS) to reveal the mechanism of biomolecular interaction on mitochondria-lysosome contact membranes. Using ls-FRET, we quantified the FRET efficiency between (Rab7A) donors and (TOM20) acceptors situated in the mitochondrial-lysosomal contact membrane. It is found that FRET efficiency decreases under carbonyl cyanide m-chlorophenyl hydrazone (CCCP) treatment. The joint use of QPCM and ls-FCS elucidates the underlying mechanism behind the reduction of FRET efficiency. The above multi-modality imaging platform enables simultaneous mapping of molecular interactions and dynamics on subcellular membranes in living cells, offering multidimensional and complementary optical readouts.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1499-1511"},"PeriodicalIF":3.2,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064614/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670334","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 intraoperative imaging of hemodynamics using deep learning. 使用深度学习的无标签术中血流动力学成像。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-18 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.582171

Yan Shi, Denghui Zhao, Jingyi Yu, Wei Ni, Pengcheng Li, Yun Gu, Peng Miao, Shanbao Tong

{"title":"Label-free intraoperative imaging of hemodynamics using deep learning.","authors":"Yan Shi, Denghui Zhao, Jingyi Yu, Wei Ni, Pengcheng Li, Yun Gu, Peng Miao, Shanbao Tong","doi":"10.1364/BOE.582171","DOIUrl":"https://doi.org/10.1364/BOE.582171","url":null,"abstract":"Intraoperative visualization of hemodynamics is crucial for accurate diagnosis and informed surgical decision-making. In neurosurgery, indocyanine green fluorescence imaging (ICG-FI) is the gold standard for assessing blood flow and identifying vascular structures. However, it is limited by time-consuming data acquisition, mandatory waiting periods, potential allergic reactions, and operational complexities. Label-free alternatives, such as laser speckle contrast imaging (LSCI) and white light imaging (WLI), offer real-time vascular assessment but cannot resolve arterial-venous differentiation or blood flow direction determination. To address these challenges, we present a label-free cross-modal generation framework to synthesize mean transition time (MTT) maps from LSCI and WLI. MTT maps encode local hemodynamics, enabling artery-vein differentiation and flow direction inference. Experimental validation in rat brains demonstrates that the proposed method presents clear vasculature delineation, accurate artery-vein differentiation, and reliable blood flow direction decoding, while reducing total imaging time by 95.8% compared to conventional ICG protocols. This approach offers a fast, efficient, and contrast-free solution for continuous intraoperative surgical guidance.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1427-1441"},"PeriodicalIF":3.2,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064629/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670208","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

In vivo dynamic optical coherence tomography of human skin with hardware- and software-based motion correction. 基于硬件和软件运动校正的人体皮肤动态光学相干断层扫描。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-18 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.588691

Yu Guo, Rion Morishita, Ibrahim Abd El-Sadek, Kohei Yamazaki, Shingo Sakai, Pradipta Mukherjee, Yiheng Lim, Cunyou Bao, Haotian Li, Keiichi Sugata, Shinya Kasamatsu, Hiroyuki Yoshida, Shuichi Makita, Yoshiaki Yasuno

引用次数: 0

Multimodal optical system for quantitative discrimination of bilirubin species. 用于胆红素种类定量鉴别的多模态光学系统。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-18 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.583874

Jan Zwicky, Daniel Fehr, Ina Albert, Steffi Lehmann, Lilian Witthauer, Mathias Bonmarin

{"title":"Multimodal optical system for quantitative discrimination of bilirubin species.","authors":"Jan Zwicky, Daniel Fehr, Ina Albert, Steffi Lehmann, Lilian Witthauer, Mathias Bonmarin","doi":"10.1364/BOE.583874","DOIUrl":"https://doi.org/10.1364/BOE.583874","url":null,"abstract":"Bilirubin occurs in human serum in multiple molecular forms: free unconjugated, albumin-bound, and conjugated species, and distinguishing between them is clinically relevant for assessing liver function and bilirubin metabolism. However, current routine assays do not resolve these subtypes individually. Here, we present a compact, multimodal optical platform that combines absorbance spectroscopy, fluorescence intensity, fluorescence anisotropy, and photobleaching analysis to investigate the optical signatures of bilirubin species in solution. Using well-defined synthetic standards representing free, bound, and conjugated bilirubin, we characterize each modality's discriminative capability. Absorbance measurements enable total bilirubin determination, fluorescence provides high sensitivity to albumin-bound bilirubin, and anisotropy measurements, done with a plate reader, reveal different responses to each species through their differing rotational mobilities. Photobleaching kinetics further highlight species-dependent photostability under controlled irradiance conditions. Taken together, these complementary, label-free optical readouts enable improved resolution of bilirubin subtypes in synthetic samples and establish a foundation for future translational studies in biologically complex matrices.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1462-1475"},"PeriodicalIF":3.2,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670180","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

Versatile optical frontends for multicolor fluorescence imaging with miniaturized lensless sensors. 多色荧光成像的多功能光学前端与小型化无透镜传感器。

IF 3.2 2区医学

Biomedical optics express Pub Date : 2026-02-18 eCollection Date: 2026-03-01 DOI: 10.1364/BOE.590805

Lukas Harris, Micah Roschelle, Jack Bartley, Mekhail Anwar

{"title":"Versatile optical frontends for multicolor fluorescence imaging with miniaturized lensless sensors.","authors":"Lukas Harris, Micah Roschelle, Jack Bartley, Mekhail Anwar","doi":"10.1364/BOE.590805","DOIUrl":"https://doi.org/10.1364/BOE.590805","url":null,"abstract":"Lensless imaging enables exceptionally compact fluorescence sensors, advancing applications in in vivo imaging and low-cost, point-of-care diagnostics. These sensors require a filter to block the excitation light while passing the weak fluorescent emissions. However, conventional thin-film interference filters are sensitive to angle of incidence (AOI), complicating their use in lensless systems. Here, we thoroughly analyze and optimize a technique using a fiber optic plate (FOP) to absorb off-axis light that would bleed through the interference filter and improve image resolution. Through simulations, we show that the numerical aperture (NA) of the FOP drives inherent design tradeoffs: collection efficiency improves rapidly with a higher NA, but at the cost of resolution, increased device thickness, and fluorescence excitation efficiency. To illustrate these tradeoffs, we optimize two optical frontend designs using FOPs with full-width at half maximums of 8.3° and 45.7°. Implementing these designs, we show that to maintain performance across all AOIs, filters must be coated on both sides of the FOP to mitigate internal scattering effects. In imaging experiments, the 520-µm-thick high-NA design collects 59× more light, but its resolution degrades rapidly with increased working distances. Alternatively, the low-NA design is capable of three-color fluorescence imaging with at least 110-µm resolution at a 1-mm working distance. Overall, we demonstrate a versatile optical frontend that is adaptable to a range of applications using different fluorophores, illumination configurations, and lensless imaging techniques.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"17 3","pages":"1409-1426"},"PeriodicalIF":3.2,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13064627/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670289","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