Biomedical optics express最新文献_第6页

Mesoscopic axially swept oblique plane microscope for the imaging of freely moving organisms with near-isotropic resolution. 用于自由移动生物成像的介观轴向扫描斜面显微镜，分辨率接近各向同性。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-11-06 eCollection Date: 2024-12-01 DOI: 10.1364/BOE.537262

Samuel Davis, Jon-Richard Sommernes, Sebastian Hambura, Levin Riedel, Alejandro Gil, Aissam Ikmi, Florian Ströhl, Robert Prevedel

{"title":"Mesoscopic axially swept oblique plane microscope for the imaging of freely moving organisms with near-isotropic resolution.","authors":"Samuel Davis, Jon-Richard Sommernes, Sebastian Hambura, Levin Riedel, Alejandro Gil, Aissam Ikmi, Florian Ströhl, Robert Prevedel","doi":"10.1364/BOE.537262","DOIUrl":"10.1364/BOE.537262","url":null,"abstract":"Rapid three-dimensional imaging over extended fields of view (FOVs) is crucial to the study of organism-wide systems and biological processes in vivo. Selective-plane illumination microscopy (SPIM) is a powerful method for high spatio-temporal resolution in toto imaging of such biological specimens. However, typical SPIM implementations preclude conventional sample mounting and have anisotropic imaging performance, in particular when designed for large FOVs over 1 mm diameter. Here, we introduce axial sweeping of the illumination into a non-orthogonal dual-objective oblique plane microscope (OPM) design, thereby enabling the observation of freely moving animals over millimeter-sized FOVs, at close to isotropic, sub-cellular resolution. We apply our mesoscopic axially swept OPM (MASOPM) to image the behavioral dynamics of the sea anemone Nematostella vectensis over 1 × 0.7 × 0.4 mm at 1.7 × 2.6 × 3.7 µm resolution and 0.5 Hz volume rate.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 12","pages":"6715-6724"},"PeriodicalIF":2.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11640566/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827320","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

Simultaneous 2-photon and 3-photon excitation with a red fluorescent protein-cyanine dye probe pair in the 1700-nm excitation window for deep in vivo neurovascular imaging. 使用红色荧光蛋白-氰基染料探针对 1700 纳米激发窗口中的红色荧光蛋白-氰基染料探针同时进行双光子和三光子激发，用于体内神经血管深度成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-11-05 eCollection Date: 2024-12-01 DOI: 10.1364/BOE.534688

Fei Xia, David Sinefeld, Zong Chang, Xiaojing Gong, Qinchao Sun

{"title":"Simultaneous 2-photon and 3-photon excitation with a red fluorescent protein-cyanine dye probe pair in the 1700-nm excitation window for deep in vivo neurovascular imaging.","authors":"Fei Xia, David Sinefeld, Zong Chang, Xiaojing Gong, Qinchao Sun","doi":"10.1364/BOE.534688","DOIUrl":"10.1364/BOE.534688","url":null,"abstract":"In vivo imaging of the neurovascular network is considered to be one of the most powerful approaches for understanding brain functionality. Nevertheless, simultaneously imaging the biological neural network and blood vessels in deep brain layers in a non-invasive manner remains to a major challenge due to the lack of appropriate labeling fluorescence probe pairs. Herein, we proposed a 2-photon and 3-photon fluorescence probe pair for neurovascular imaging. Specifically, the red fluorescence protein (RFP) with an absorption maximum of around 550 nm is used as a 3-photon excited probe to label neurons, and a cyanine derivative dye Q820@BSA has a NIR absorption maximum of 825 nm as a 2-photon excited probe to label the vasculature, enabling single wavelength excitation at 1650 nm for neurovascular imaging with high emission spectral separation (>250 nm). In particular, the 2-photon action cross-section of Q820@BSA was found to be about 2-fold larger than that of indocyanine green (ICG), a commonly used red 2-photon fluorescence labeling agent, at the same excitation wavelength. Benefiting from the long wavelength advantage in reducing scattering in both 2 and 3-photon excitation of the fluorescence pairs, we demonstrated in vivo neurovascular imaging in intact adult mouse brains through white matter and deep into the hippocampus in the somatosensory cortex.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 12","pages":"6670-6681"},"PeriodicalIF":2.9,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11640573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827330","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

Enhancing image reconstruction in photoacoustic imaging using spatial coherence mean-to-standard-deviation factor beamforming. 利用空间相干均值-标准差因子波束成形增强光声成像中的图像重建。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-11-05 eCollection Date: 2024-12-01 DOI: 10.1364/BOE.542710

Xinsheng Wang, Dan Wu, Yonghua Xie, Yuanyuan Bi, Yunqing Xu, Jing Zhang, Qing Luo, Huabei Jiang

{"title":"Enhancing image reconstruction in photoacoustic imaging using spatial coherence mean-to-standard-deviation factor beamforming.","authors":"Xinsheng Wang, Dan Wu, Yonghua Xie, Yuanyuan Bi, Yunqing Xu, Jing Zhang, Qing Luo, Huabei Jiang","doi":"10.1364/BOE.542710","DOIUrl":"10.1364/BOE.542710","url":null,"abstract":"In photoacoustic imaging (PAI), a delay-and-sum (DAS) beamforming reconstruction algorithm is widely used due to its ease of implementation and fast execution. However, it is plagued by issues such as high sidelobe artifacts and low contrast, that significantly hinder the ability to differentiate various structures in the reconstructed images. In this study, we propose an adaptive weighting factor called spatial coherence mean-to-standard deviation factor (scMSF) in DAS, which is extended into the spatial frequency domain. By combining scMSF with a minimum variance (MV) algorithm, the clutter level is reduced, thereby enhancing the image contrast. Quantitative results obtained from the phantom experiment demonstrate that our proposed method improves contrast ratio (CR) by 30.15 dB and signal-to-noise ratio (SNR) by 8.62 dB compared to DAS while also improving full-width at half maxima (FWHM) by 56%. From the in-vivo experiments, the scMSF-based reconstruction image exhibits a higher generalized contrast-to-noise ratio (gCNR), indicating improved target detectability with a 25.6% enhancement over DAS and a 22.5% improvement over MV.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 12","pages":"6682-6696"},"PeriodicalIF":2.9,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11640575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827281","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

Photothermal optical coherence microscopy for studying lipid architecture in human carotid arteries. 用于研究人体颈动脉脂质结构的光热光学相干显微镜。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-11-04 eCollection Date: 2024-12-01 DOI: 10.1364/BOE.534800

Aaron Doug Deen, Antonio López-Marín, Jonas J M Riksen, Antonius F W van der Steen, Gijs van Soest

引用次数: 0

Super resolution reconstruction of fluorescence microscopy images by a convolutional network with physical priors. 利用具有物理先验的卷积网络对荧光显微镜图像进行超分辨率重建。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-11-01 DOI: 10.1364/BOE.537589

Qiangyu Cai, Jun Lu, Wenting Gu, Di Xiao, Boyi Li, Lei Xu, Yuanjie Gu, Biqin Dong, Xin Liu

{"title":"Super resolution reconstruction of fluorescence microscopy images by a convolutional network with physical priors.","authors":"Qiangyu Cai, Jun Lu, Wenting Gu, Di Xiao, Boyi Li, Lei Xu, Yuanjie Gu, Biqin Dong, Xin Liu","doi":"10.1364/BOE.537589","DOIUrl":"10.1364/BOE.537589","url":null,"abstract":"Super-solution fluorescence microscopy, such as single-molecule localization microscopy (SMLM), is effective in observing subcellular structures and achieving excellent enhancement in spatial resolution in contrast to traditional fluorescence microscopy. Recently, deep learning has demonstrated excellent performance in SMLM in solving the trade-offs between spatiotemporal resolution, phototoxicity, and signal intensity. However, most of these researches rely on sufficient and high-quality datasets. Here, we propose a physical priors-based convolutional super-resolution network (PCSR), which incorporates a physical-based loss term and an initial optimization process based on the Wiener filter to create excellent super-resolution images directly using low-resolution images. The experimental results demonstrate that PCSR enables the achievement of a fast reconstruction time of 100 ms and a high spatial resolution of 10 nm by training on a limited dataset, allowing subcellular research with high spatiotemporal resolution, low cell phototoxic illumination, and high accessibility. In addition, the generalizability of PCSR to different live cell structures makes it a practical instrument for diverse cell research.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 11","pages":"6638-6653"},"PeriodicalIF":2.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11563314/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646994","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

Physics-guided deep learning-based real-time image reconstruction of Fourier-domain optical coherence tomography. 基于物理引导深度学习的傅立叶域光学相干断层扫描实时图像重建。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-10-30 eCollection Date: 2024-11-01 DOI: 10.1364/BOE.538756

Mengyuan Wang, Jianing Mao, Hang Su, Yuye Ling, Chuanqing Zhou, Yikai Su

{"title":"Physics-guided deep learning-based real-time image reconstruction of Fourier-domain optical coherence tomography.","authors":"Mengyuan Wang, Jianing Mao, Hang Su, Yuye Ling, Chuanqing Zhou, Yikai Su","doi":"10.1364/BOE.538756","DOIUrl":"10.1364/BOE.538756","url":null,"abstract":"In this paper, we introduce a physics-guided deep learning approach for high-quality, real-time Fourier-domain optical coherence tomography (FD-OCT) image reconstruction. Unlike traditional supervised deep learning methods, the proposed method employs unsupervised learning. It leverages the underlying OCT imaging physics to guide the neural networks, which could thus generate high-quality images and provide a physically sound solution to the original problem. Evaluations on synthetic and experimental datasets demonstrate the superior performance of our proposed physics-guided deep learning approach. The method achieves the highest image quality metrics compared to the inverse discrete Fourier transform (IDFT), the optimization-based methods, and several state-of-the-art methods based on deep learning. Our method enables real-time frame rates of 232 fps for synthetic images and 87 fps for experimental images, which represents significant improvements over existing techniques. Our physics-guided deep learning-based approach could offer a promising solution for FD-OCT image reconstruction, which potentially paves the way for leveraging the power of deep learning in real-world OCT imaging applications.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 11","pages":"6619-6637"},"PeriodicalIF":2.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11563334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646976","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

On bench evaluation of intraocular lenses: performance of a commercial interferometer. 眼内透镜的台架评估：商用干涉仪的性能。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-10-29 eCollection Date: 2024-11-01 DOI: 10.1364/BOE.540514

Noé Villemagne, Luc Joannes, Benjamin Stern, Damien Gatinel

引用次数: 0

Predictive coding compressive sensing optical coherence tomography hardware implementation. 预测编码压缩传感光学相干断层扫描硬件实现。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-10-29 eCollection Date: 2024-11-01 DOI: 10.1364/BOE.541685

Diego M Song Cho, Haiqiu Yang, Zizheng Jia, Arielle S Joasil, Xinran Gao, Christine P Hendon

引用次数: 0

Widefield optical coherence tomography by electro-optical modulation. 通过电子光学调制实现宽域光学相干断层成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-10-28 eCollection Date: 2024-11-01 DOI: 10.1364/BOE.540278

Dorian R Urban, Pavel Novak, Miguel A Preciado, Tom Vettenburg

{"title":"Widefield optical coherence tomography by electro-optical modulation.","authors":"Dorian R Urban, Pavel Novak, Miguel A Preciado, Tom Vettenburg","doi":"10.1364/BOE.540278","DOIUrl":"10.1364/BOE.540278","url":null,"abstract":"Optical coherence tomography (OCT) is a unique imaging modality capable of axial sectioning with a resolution of only a few microns. Its ability to image with high resolution deep within tissue makes it ideal for material inspection, dentistry, and, in particular, ophthalmology. Widefield retinal imaging has garnered increasing clinical interest for the detection of numerous retinal diseases. However, real-time applications in clinical practice demand the contrast of swept-source OCT at scan speeds that limit their depth range. The curvature of typical samples, such as teeth, corneas, or retinas, thus restricts the field-of-view of fast OCT systems. Novel high-speed swept sources are expected to further improve the scan rate; however, not without exacerbating the already severe trade-off in depth range. Here, we show how, without the need for mechanical repositioning, harmonic images can be rapidly synthesized at any depth. This is achieved by opto-electronic modulation of a single-frequency swept source laser in tandem with tailored numerical dispersion compensation. We demonstrate experimentally how real-time imaging of highly-curved samples is enabled by extending the effective depth-range 8-fold. Even at the scan speed of a 400 kHz swept source, harmonic OCT enables widefield retinal imaging.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 11","pages":"6573-6587"},"PeriodicalIF":2.9,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11563341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646999","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

Development of silicone-based phantoms for biomedical optics from 400 to 1550 nm. 开发用于 400 至 1550 纳米生物医学光学的硅基模型。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-10-28 eCollection Date: 2024-11-01 DOI: 10.1364/BOE.533481

Markus Wagner, Oliver Fugger, Florian Foschum, Alwin Kienle

引用次数: 0