Biomedical optics express最新文献_第8页

In vivo three-photon fluorescence imaging of mouse brain vasculature labeled by Evans blue excited at the NIR-III window. 在NIR-III窗口激发下用Evans蓝标记的小鼠脑血管的体内三光子荧光成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-20 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.545987

Shen Tong, Hongji Liu, Jie Huang, Jincheng Zhong, Jiemei Yan, Heng Wang, Xiao Zhang, Ping Qiu, Ke Wang

{"title":"In vivo three-photon fluorescence imaging of mouse brain vasculature labeled by Evans blue excited at the NIR-III window.","authors":"Shen Tong, Hongji Liu, Jie Huang, Jincheng Zhong, Jiemei Yan, Heng Wang, Xiao Zhang, Ping Qiu, Ke Wang","doi":"10.1364/BOE.545987","DOIUrl":"10.1364/BOE.545987","url":null,"abstract":"Multiphoton fluorescence microscopy (MFM), renowned for its noninvasiveness and high spatiotemporal resolution, is extensively applied in brain structure imaging in vivo. Three-photon fluorescence (3PF) imaging, excited at the NIR-III window, can penetrate the deepest mouse cerebrovascular. Evans blue, a substance known for its low toxicity, high water solubility, and resistance to metabolism, is frequently employed to assess blood-brain barrier (BBB) permeability. However, its suitability for multiphoton fluorescence imaging of mouse cerebrovascular at the NIR-III window in vivo remains unexplored. In this paper, we conduct a comprehensive analysis of the multiphoton excitation and emission characterization of Evans blue when excited at the NIR-III window. Our findings indicate that 1) Evans blue can generate 3PF signals; 2) it exhibits a substantial three-photon action cross-section (ησ3 ) in plasma; 3) its three-photon emission spectrum measured in vivo agrees with that measured in plasma ex vivo. Drawing upon these findings, we successfully demonstrated the application of 3PF imaging of mouse brain vasculature labeled with Evans blue. Notably, the maximum depth of cerebrovascular is 1550 μm beneath the brain surface, spanning the entire gray matter layer and white matter layer and extending into the hippocampus. Evans blue is thus highly ideal for brain cerebrovascular 3PF imaging in vivo.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"257-266"},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999162","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

Compact high-bandwidth single-beam optically-pumped magnetometer for biomagnetic measurement. 紧凑型高带宽单光束光泵磁力仪，用于生物磁力测量。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-20 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.545624

Tianbo Wu, Wei Xiao, Xiang Peng, Teng Wu, Hong Guo

{"title":"Compact high-bandwidth single-beam optically-pumped magnetometer for biomagnetic measurement.","authors":"Tianbo Wu, Wei Xiao, Xiang Peng, Teng Wu, Hong Guo","doi":"10.1364/BOE.545624","DOIUrl":"10.1364/BOE.545624","url":null,"abstract":"Optically-pumped magnetometer (OPM) has been of increasing interest for biomagnetic measurements due to its low cost and portability compared with superconducting quantum interference devices (SQUID). Miniaturized spin-exchange-relaxation-free (SERF) OPMs typically have limited bandwidth (less than a few hundred Hertz), making it difficult to measure high-frequency biomagnetic signals such as the magnetocardiography (MCG) signal of the mouse. Existing experiments mainly use SQUID systems to measure the signal. In this paper, we introduce a prototype miniaturized single-beam SERF magnetometer with a bandwidth of ∼ 1 kHz. Instead of operating the OPM in a closed-loop mode to improve the bandwidth of the OPM, which usually has a poorer performance in high-frequency range, we use the power-broadening effects to shorten the spin relaxation time and thus a faster response to the magnetic fields to be measured. Combined with light power stabilizations to improve both the sensitivity and stability, our magnetometer has a low noise floor of 30 fT / Hz1/2, which has been successfully adopted to measure the MCG signal of the mouse.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"235-244"},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729300/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999575","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

Hyper-brain independent component analysis (HB-ICA): an approach for detecting inter-brain networks from fNIRS-hyperscanning data. 超脑独立成分分析（HB-ICA）：一种从fnirs超扫描数据中检测脑间网络的方法。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-20 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.542554

Hailing Luo, Yutong Cai, Xiuyun Lin, Lian Duan

引用次数: 0

Multi-culture label-free quantitative cell migration sensing with single-cell precision. 具有单细胞精度的多培养无标记定量细胞迁移传感。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-20 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.541010

Piotr Arcab, Mikołaj Rogalski, Marcin Marzejon, Piotr Rogujski, Luiza Stanaszek, Maciej Trusiak

{"title":"Multi-culture label-free quantitative cell migration sensing with single-cell precision.","authors":"Piotr Arcab, Mikołaj Rogalski, Marcin Marzejon, Piotr Rogujski, Luiza Stanaszek, Maciej Trusiak","doi":"10.1364/BOE.541010","DOIUrl":"10.1364/BOE.541010","url":null,"abstract":"A fair comparison of multiple live cell cultures requires examining them under identical environmental conditions, which can only be done accurately if all cells are prepared simultaneously and studied at the same time and place. This contribution introduces a multiplexed lensless digital holographic microscopy system (MLS), enabling synchronous, label-free, quantitative observation of multiple live cell cultures with single-cell precision. The innovation of this setup lies in its ability to robustly compare the behaviour, i.e., migratory pathways, of cells cultured or contained in different ways (with varied stimuli applied), making it a valuable tool for dynamic biomedical diagnostics on a cellular level. The system's design allows for potential expansion to accommodate as many samples as needed, thus broadening its application scope in future quantitative diagnostics on global multi-culture cellular behaviours via their localized single-cell spatiotemporal optical signatures. We believe that our method has the potential to empower reliable live cell multi-culture comparisons through simultaneous quantitative imaging, enhancing label-free investigations into cell cultures and the effects of biochemical or physical stimuli over large areas, and unlocking novel mechanistic understandings through high-throughput time-lapse observations.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"222-234"},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999351","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

Quantifying UV-induced photodamage for longitudinal live-cell imaging applications of deep-UV microscopy. 定量紫外光诱导的纵向活细胞成像应用深紫外光显微镜。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-19 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.544778

Viswanath Gorti, Kaitlyn McCubbins, Daniel Houston, Aaron D Silva Trenkle, Abigail Holberton, Caroline E Serafini, Levi Wood, Gabriel Kwong, Francisco E Robles

{"title":"Quantifying UV-induced photodamage for longitudinal live-cell imaging applications of deep-UV microscopy.","authors":"Viswanath Gorti, Kaitlyn McCubbins, Daniel Houston, Aaron D Silva Trenkle, Abigail Holberton, Caroline E Serafini, Levi Wood, Gabriel Kwong, Francisco E Robles","doi":"10.1364/BOE.544778","DOIUrl":"10.1364/BOE.544778","url":null,"abstract":"Deep-UV microscopy enables high-resolution, label-free molecular imaging by leveraging biomolecular absorption properties in the UV spectrum. Recent advances in UV-imaging hardware have renewed interest in this technique for quantitative live cell imaging applications. However, UV-induced photodamage remains a concern for longitudinal dynamic imaging studies. Here, we quantify UV phototoxicity with several cell types at notable UV wavelengths. We find that the fluence required for cell death via UV phototoxicity with continuous UV exposure varies with cell type and wavelength from ∼0.5µJ/µm2 to 2µJ/µm2, but is independent of typical illumination power/radiant flux of UV microscopy (e.g., 0.1-20 nW/µm2). We also show results from fractionation studies that reveal cell repair following UV exposure, which increases the tolerance to UV radiation by a factor of 2 or more, depending on the fractionation paradigm. Results further show that UV tolerance exceeds ANSI guidelines for maximum permissible exposure. Finally, we calculate imaging limits for a typical application of UV microscopy, such as hematology analysis. Together, this work provides UV fluence thresholds that can serve as guidelines for nondestructive, longitudinal, and dynamic deep-UV microscopy experiments.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"208-221"},"PeriodicalIF":2.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729288/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999376","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

Dynamics-aware deep predictive adaptive scanning optical coherence tomography. 动态感知深度预测自适应扫描光学相干层析成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-17 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.545165

Dhyey Manish Rajani, Federico Seghizzi, Yang-Lun Lai, Koerner Gray Buchta, Mark Draelos

{"title":"Dynamics-aware deep predictive adaptive scanning optical coherence tomography.","authors":"Dhyey Manish Rajani, Federico Seghizzi, Yang-Lun Lai, Koerner Gray Buchta, Mark Draelos","doi":"10.1364/BOE.545165","DOIUrl":"10.1364/BOE.545165","url":null,"abstract":"Conventional scanned optical coherence tomography (OCT) suffers from the frame rate/resolution tradeoff, whereby increasing image resolution leads to decreases in the maximum achievable frame rate. To overcome this limitation, we propose two variants of machine learning (ML)-based adaptive scanning approaches: one using a ConvLSTM-based sequential prediction model and another leveraging a temporal attention unit (TAU)-based parallel prediction model for scene dynamics prediction. These models are integrated with a kinodynamic path planner based on the clustered traveling salesperson problem to create two versions of ML-based adaptive scanning pipelines. Through experimental validation with novel deterministic phantoms based on a digital light processing board, our techniques achieved mean frame rate speed-ups of up to 40% compared to conventional raster scanning and the probabilistic adaptive scanning method without compromising image quality. Furthermore, these techniques reduced scene-dependent manual tuning of system parameters to demonstrate better generalizability across scenes of varying types, including those of intrasurgical relevance. In a real-time surgical tool tracking experiment, our technique achieved an average speed-up factor of over 3.2× compared to conventional scanning methods, without compromising image quality.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"186-207"},"PeriodicalIF":2.9,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729299/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999243","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

Spectrally encoded flow cytometry using few-mode fiber collection. 利用少模光纤采集的频谱编码流式细胞术。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-16 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.544465

Reut Friedman, Dvir Yelin

引用次数: 0

Out-of-focus signal rejection for in vivo pO₂ measurements using two-photon phosphorescence lifetime microscopy. 用双光子磷光寿命显微镜测量体内pO2的失焦信号抑制。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-12 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.532084

Qi Pian, Baoqiang Li, Ikbal Şencan-Eğilmez, Xiaojun Cheng, Jay Dubb, Xinyue Huang, Buyin Fu, Srinivasa Rao Allu, Mohammad Abbas Yaseen, Anna Devor, Sergei A Vinogradov, Sava Sakadžić

引用次数: 0

Monte Carlo-based realistic simulation of optical coherence tomography angiography. 基于蒙特卡罗的光学相干断层血管造影的现实模拟。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-11 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.540916

Jianing Mao, Hang Su, Ping Xue, Yuye Ling

{"title":"Monte Carlo-based realistic simulation of optical coherence tomography angiography.","authors":"Jianing Mao, Hang Su, Ping Xue, Yuye Ling","doi":"10.1364/BOE.540916","DOIUrl":"10.1364/BOE.540916","url":null,"abstract":"Optical coherence tomography angiography (OCTA) offers unparalleled capabilities for non-invasive detection of vessels. However, the lack of accurate models for light-tissue interaction in OCTA jeopardizes the development of the techniques to further extract quantitative information from the measurements. In this manuscript, we propose a Monte Carlo (MC)-based simulation method to precisely describe the signal formation of OCTA based on the fundamental theory of light-tissue interactions. A dynamic particle-fixed model is developed to depict the spatial-temporal behaviors of the tissue phantom: the particles are initialized and fixed in specific locations with wavelength-dependent scattering cross-sections and are allowed to travel over time. We then employ a full-spectrum MC engine to faithfully simulate the formation of OCT and OCTA images. A simulation on a vessel-mimicking phantom demonstrated that speckle characteristics in OCT as well as decorrelation maps in OCTA could be successfully reproduced. We further illustrate the usefulness of our method on the quantitative OCTA by extending it to simulate the gradual saturation of decorrelation in OCTA-based velocimetry. We believe our method will serve as a valuable tool for studying OCTA theory and inspire better solutions and metrics for non-invasive flow velocity measurement.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"142-158"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999255","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

MulitDeepsurv: survival analysis of gastric cancer based on deep learning multimodal fusion models. multideepsurv：基于深度学习多模态融合模型的胃癌生存分析。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-12-11 eCollection Date: 2025-01-01 DOI: 10.1364/BOE.541570

Songren Mao, Jie Liu

{"title":"MulitDeepsurv: survival analysis of gastric cancer based on deep learning multimodal fusion models.","authors":"Songren Mao, Jie Liu","doi":"10.1364/BOE.541570","DOIUrl":"10.1364/BOE.541570","url":null,"abstract":"Gastric cancer is a leading cause of cancer-related deaths globally. As mortality rates continue to rise, predicting cancer survival using multimodal data-including histopathological images, genomic data, and clinical information-has become increasingly crucial. However, extracting effective predictive features from this complex data has posed challenges for survival analysis due to the high dimensionality and heterogeneity of histopathology images and genomic data. Furthermore, existing methods often lack sufficient interaction between intra- and inter-modal features, significantly impacting model performance. To address these challenges, we developed a deep learning-based multimodal feature fusion model, MultiDeepsurv, designed to predict the survival of gastric cancer patients by integrating histopathological images, clinical data, and gene expression data. Our approach includes a two-branch hybrid network, GLFUnet, which leverages the attention mechanism for enhanced pathology image representation learning. Additionally, we employ a graph convolutional neural network (GCN) to extract features from gene expression data and clinical information. To capture the correlations between different modalities, we utilize the SFusion fusion strategy that employs a self-attention mechanism to learn potential correlations across modalities. Finally, these deeply processed features are fed into Cox regression models for an end-to-end survival analysis. Comprehensive experiments and analyses conducted on a gastric cancer cohort from The Cancer Genome Atlas (TCGA) demonstrate that our proposed MultiDeepsurv model outperforms other methods in terms of prognostic accuracy, with a C-index of 0.806 and an AUC of 0.842.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 1","pages":"126-141"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729289/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999349","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