Journal of Physics-Photonics物理学杂志：光子学
Journal of Physics-Photonics(英文缩写 J PHYS-PHOTONICS),ISSN 2515-7647,eISSN 2515-7647,中文译名:物理学杂志：光子学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 未收录 | N/A |
| 2022 | 3.800 | N/A |
| 2023 | 4.600 | Q1 |
| 2024 | 8.400 | Q1 |
| 2025 | 4.700 | Q1 |
Journal of Physics-Photonics 最新收录文献
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1. Optimization of light source parameters for photoacoustic imaging: trade-offs, technologies, and clinical considerations.
PMID:日期:2026-07-21The selection of light sources for photoacoustic imaging, a biomedical imaging technology, remains a critical yet under-informed topic. This review discusses the key trade-offs in light source parameters (e.g. wavelength, pulse energy, repetition frequency), safety, and practical considerations. We analyse these factors in the context of underlying imaging physics and the limits imposed by regulatory standards across various wavelength ranges. Attention is given to light source selection for photoacoustic tomography, optical and acoustic resolution microscopy, and endoscopy, which pose different requirements for pulse energies and repetition frequencies, to achieve real-time imaging at the desired depth. Current PA imaging light sources, including high-power lasers with optical parametric oscillators, fibre lasers, laser diodes, vertical-cavity surface-emitting lasers, and light-emitting diodes, are reviewed in terms of wavelength availability, energy, repetition frequency, beam quality, portability, and safety. Clinically viable systems require careful consideration of fibre coupling limitations, maximum permissible exposure at the tissue interface, imaging field of view, and signal-to-noise ratio. Further practical considerations include energy efficiency and thermal management in clinical settings. We also outline the present gaps in the available light source technologies, where the development of new sources may enable new PA imaging capabilities, both scientific and clinical. By offering an overview of these considerations, this review aims to guide researchers, industry, and clinicians in selecting optimal light sources and advancing the development of light sources that address current gaps in available technology.
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2. FLIMExplorer: interactive GUI for object-based visualization and analysis of fluorescence lifetime images.
PMID:日期:2026-07-07Fluorescence lifetime imaging microscopy (FLIM) enables non-invasive measurement of cellular metabolism with single-cell and subcellular resolution, providing advantages over traditional population-level metabolic assays. However, current single-cell FLIM analysis workflows typically rely on multiple software tools for lifetime extraction, segmentation, and downstream analysis, often resulting in convoluted workflows and a disconnect between quantitative measurements and image context, limiting transparent quality control. Here, we present FLIMExplorer, an interactive, Python-based tool for downstream single-cell FLIM analysis and visualization. FLIMExplorer links quantitative FLIM endpoints and their underlying image objects, enabling users to explore key FLIM features (NAD(P)H and FAD: , , , and ) at the single-cell level, visualize image objects corresponding to individual data points, and perform statistical comparisons across experimental groups within a single graphic user interface app. FLIMExplorer handles inputs of both (1) pixel-level FLIM outputs generated by upstream fitting software and (2) pre-processed, cell-average FLIM datasets. By integrating visualization, quality control, and statistical analysis at the single-cell level within a single platform, FLIMExplorer improves the integration of quantitative results with image context in downstream FLIM analysis.
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3. Artificial Second Harmonic Generation Image Feature Tuning with Generative Models and SeFa Semantic Analysis.
PMID:日期:2026-06-09Collagen fibers within the extracellular matrix undergo morphological changes in the presence of many diseases including cancers and connective tissue disorders. Second Harmonic Generation (SHG) microscopy is ideal for visualizing this morphology by its intrinsic contrast and 3D imaging capabilities of fibrillar collagen. To build upon the success of deep learning-based methods analyzing microscopy datasets, in this study, we adapted the generative adversarial network model StyleGAN specifically for use with SHG data. Here we trained our model StyleGAN2-ADA-SHG on a dataset of 1,319 SHG images to extract further information content. When comparing evaluation metrics between the baseline dataset and the generator, we found that the model is well suited to generating novel images that appear perceptually similar to those from our small set of training data. Using Semantic Factorization (SeFa) on the generated images to examine the 10 highest scoring eigenvectors, we found two semantics with strong correlation to fiber morphological features that were quantified via analysis using CT-Fire, CurveAlign, and other fiber-based metrics. We integrated analysis tools into the SeFa GUI to support an extensible framework for future analyses and image editing. Additionally, we tested two image projection methods for editing SHG images in the GAN's latent space using the identified semantics. The encoder-based approach significantly outperformed the Learned Perceptual Image Patch Similarity (LPIPS) method. With further refinement, these tools can be used to create SHG images of collagen fibers with variable morphology based on disease types for additional analysis purposes.
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4. Compact on-chip fluorescence microscope for dynamic imaging of cellular processes and biomimetic systems.
PMID:日期:2026-06-01Real-time and High-throughput fluorescence imaging is essential for probing dynamic cellular behavior in biomimetic and tissue-on-chip systems. While fluorescence microscopy provides high sensitivity and subcellular resolution, the intrinsic heterogeneity of these engineered tissues requires imaging multiple regions to obtain representative biological information. Meeting this need typically demands mechanical scanning systems, which add both hardware and software complexity and substantially increase cost. Here, we developed a compact and low-cost on-chip fluorescence microscopy platform that integrates a two-dimensional microlens substrate directly onto a complementary metal-oxide-semiconductor sensor to achieve high resolution and signal-to-noise ratio (SNR). Excitation light is delivered laterally through a prism to induce total internal reflection, effectively rejecting background illumination and allowing only fluorescence emission to reach the detector. The system's optical geometry was optimized using analytical modeling and numerical simulations to maximize photon collection and SNR. Using this optimized system, we first demonstrated its capability at the cellular level by capturing drug-induced oxidative stress and rapid intracellular signaling dynamics in BT-20 breast cancer cells. Once we were successfully able to monitor these dynamic processes, we next applied the system to biomimetic models. In a microfluidic tumor-endothelial co-culture, we visualized the passage of small molecules, nanoparticles, and ions across the endothelial barrier under controlled flow conditions. Integration with microfluidic co-culture systems further demonstrated its ability to study complex interactions within tumor microenvironments. By combining simplicity, sensitivity, and compatibility with biomimetic platforms, this on-chip fluorescence microscope enables wide-field monitoring of cellular dynamics across large populations, allowing observation of cell-to-cell variability and supporting applications in drug screening, cellular signaling studies, and tissue-on-chip research.
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5. Advances in fully integrated wearable near-infrared spectroscopy: hardware innovations and biomedical applications.
PMID:日期:2026-05-28The use of noninvasive near-infrared spectroscopy (NIRS) has grown significantly over the past few decades for use in the characterization of tissue optical properties and derived physiological parameters such as tissue oxygen saturation and hemoglobin composition to support human health and wellness. Wearable NIRS devices have been developed in recent years that enable real-time continuous monitoring. These devices have been enabled by advances in the dense integration of miniature integrated circuits, light sources and detectors, embedded processing, and wireless technologies. The most attractive aspect of wearable NIRS devices is that they enable real-time sensing both inside and outside of laboratory and clinical settings. This review paper focuses on recent hardware developments related to fully integrated wearable NIRS devices, including continuous wave, time domain, and frequency domain NIRS techniques, and their enabling technologies. We also review their application in biomedical fields such as neuroscience, musculoskeletal physiology, and others. We provide our perspective on the future technology research opportunities and direction of the field.
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6. Enhanced accuracy of NIRS-vascular occlusion testing through incorporation of conduit artery diameter.
6. 通过结合导管动脉直径，提高了近红外光谱血管闭塞测试的准确性PMID:日期:2026-02-27[中文摘要] 近红外光谱联合血管闭塞试验（NIRS-VOT）为实时评估组织氧合和血管功能提供了一种无创方法。然而，其临床应用仍然有限，部分原因在于解剖和生理特征存在显著的个体间差异。为识别变异性来源，我们探讨了将传导动脉尺寸——具体为基线肱动脉直径（BrAD）——纳入NIRS-VOT数据分析，是否能够增强生理学解读并减少测量误差。我们分析了招募至NIH临床中心的16名健康参与者的NIRS-VOT反应（NCT06552767和NCT03538639），并将个体BrAD测量值作为协变量纳入分析。BrAD与动态灌注参数之间观察到强至中等程度的Spearman秩相关，包括去饱和速率（ = 0.77， = 0.0005）和再饱和速率（ = 0.79， = 0.0003）。这些发现表明，较大的肱动脉与闭塞期间更大的氧摄取以及再灌注期间更快的再氧合相关。在各参数中，BrAD解释了NIRS-VOT结局中相当大比例的方差。当将BrAD作为协变量纳入后，去饱和速率和再饱和速率的未解释变异分别降至总方差的28%和34%，表明考虑传导动脉尺寸可大幅降低残余变异并增强这些动态反应的可解释性。视觉比较也表明，纳入BrAD有助于阐明反应模式并对离群值进行重新分类。通过减少个体间变异并解释更大比例的生理反应，基于BrAD的分析增强了NIRS-VOT测量的可解释性和一致性。将血管解剖学整合到NIRS-VOT分析中，可能改善对细微血管功能障碍的检测并增强其诊断效用。未来需要纳入更大规模、更多样化队列以及额外血管区域的研究，以验证和扩展这些发现。
[英文摘要] Near-infrared spectroscopy with vascular occlusion testing (NIRS-VOT) offers a non-invasive approach for real-time assessment of tissue oxygenation and vascular function. However, its clinical application remains limited, in part due to substantial inter-individual variability in anatomical and physiological characteristics. To identify potential sources of variability, we explored whether incorporating conduit artery size-specifically baseline brachial artery diameter (BrAD)-into the NIRS-VOT data analysis could enhance physiological interpretation and reduce measurement error. We analyzed NIRS-VOT responses from 16 healthy participants recruited to the NIH Clinical Center (NCT06552767 and NCT03538639), incorporating individual BrAD measurements as a covariate. Strong to moderate Spearman's rank-order correlations were observed between BrAD and dynamic perfusion parameters, including the desaturation rate ( = 0.77, = 0.0005) and resaturation rate ( = 0.79, = 0.0003). These findings suggest that larger brachial arteries are associated with greater oxygen extraction during occlusion and faster reoxygenation during reperfusion. Across parameters, BrAD explained a substantial proportion of the variance in NIRS-VOT outcomes. When BrAD was included as a covariate, the unexplained variability in the desaturation and resaturation rates was reduced to 28% and 34% of the total variance, respectively, indicating that accounting for conduit artery size substantially decreases residual variability and enhances the interpretability of these dynamic responses. Visual comparison also indicated that incorporating BrAD helped clarify response patterns and reclassify outliers. By reducing inter-individual variability and explaining a greater share of the physiological response, the BrAD-informed analysis enhances the interpretability and consistency of NIRS-VOT measurements. Integrating vascular anatomy into NIRS-VOT analysis may improve the detection of subtle vascular dysfunction and strengthen its diagnostic utility. Future research involving larger and more diverse cohorts, and additional vascular territories are needed to validate and expand these findings.
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7. Generalized 3D quasi-phase-matching model of image contrast in second harmonic generation microscopy of fibrillar collagen architectures.
PMID:日期:2026-01-30Second harmonic generation (SHG) microscopy is a powerful tool in assessing collagen structure, especially with respect to differentiating the respective architectures of normal and diseased tissues. An under-explored area is exploiting SHG to determine the sub-resolution aspects of the collagen fibril size, polarity, and packing (∼50-100 nm diameters). Due to the phase-matching and associated coherence of SHG, these structural aspects are encoded in the wavelength dependence of the spatial emission and relative conversion efficiency, denoted the creation attributes. As a means to extract this information, we present a generalized 3D computational/theoretical treatment based on quasi-phase-matching (QPM), which can predict the SHG emission pattern and relative conversion efficiency using collagen models based on 3D biomimetic fibril architectures. Specifically, we incorporate random rather than purely periodic structures and non-ideal phase-matching conditions. By exploration of parameter space, and comparison with imaging data, we can place bounds on the fibril architecture without the use of structural biology tools. The resulting predicted fibril sizes of real tissues are in good agreement with known values from electron microscopy. Moreover, by examining the role of heterogeneity, we have identified the contribution of small and large fibrils and clustering therein to the creation attributes, and the regimes where these dominate the spatial emission pattern. These simulations also resulted in good agreement with prior work on the wavelength dependence of SHG conversion efficiency, where the fibril size and packing are sufficient to reproduce experimental data without invoking a two-state model. This level of agreement provides validation of the model and also points to the need for this approach to treat the SHG responses due to the intrinsic complexity of many tissues.
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8. {"_":"Multi-layer self-calibrated algorithm for transabdominal fetal pulse oximetry: simulation and validation.","i":["in vivo"]}
PMID:日期:2025-11-11Transabdominal fetal pulse oximetry offers a promising approach to non-invasively monitor fetal arterial oxygen saturation (SaO), potentially enhancing clinical decision-making and reducing unnecessary interventions during delivery. However, accurate estimation of fetal SaO (denoted as SpO when measured non-invasively) is complicated by the multi-layer maternal-fetal tissue structure, distinct maternal and fetal physiological signals, and inherently low fetal oxygen saturation levels. A multi-layer self-calibrated algorithm was developed by combining the multi-layer modified Beer-Lambert law with an analytical photon partial pathlength model. This approach distinguishes maternal and fetal tissue contributions, enabling more accurate fetal SpO estimation. Validation was performed using Monte Carlo photon simulations of multi-layer tissue geometries, where synthetic optical signals representing fetal cardiac pulsations were generated under two fetal depths and randomly varied maternal and fetal oxygen saturations and optical properties. Further validation was performed using sheep data, where fetal SpO values derived from transabdominal continuous-wave near-infrared spectroscopy measurements were compared against reference fetal SaO from CO-oximetry. In simulations, the algorithm achieved a mean absolute error (MAE) below 5% and a Pearson correlation coefficient () of 0.98 between estimated fetal SpO and ground truth fetal SaO when using optimal input parameters. In the sheep experiment, agreement with reference measurements was maintained (MAE = 10.3%, = 0.91). However, algorithm performance was highly sensitive to accurate optical properties and tissue layer thicknesses inputs, which may be challenging to obtain in clinical settings. These results demonstrate proof-of-concept feasibility for the multi-layer self-calibrated algorithm in both simulated and conditions. While further refinement, particularly in optical property estimation and fetal depths in human pregnancies, is necessary, this work provides a foundational framework for the future clinical translation of non-invasive fetal SpO monitoring.
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9. Isolating subsurface fluorescence in macroscopic lifetime imaging via high-spatial-frequency structured illumination.
PMID:日期:2025-10-06Macroscopic fluorescence lifetime imaging (MFLI) has emerged as a robust, non-invasive imaging technique offering quantitative insights into physiological and molecular processes within live tissues, independent of fluorophore concentration, excitation intensity, or signal attenuation. However, a key limitation is the inability to accurately determine the depth at which fluorescence signals originate, potentially compromising biological interpretation due to ambiguous localization. In this study, we introduce high spatial frequency-fluorescence lifetime imaging (HSF-FLI), an innovative optical correction methodology designed to effectively eliminate surface signal bias, such as those arising from skin in preclinical imaging, without requiring chemical clearing agents. We develop a modulation transfer function linking spatial frequency with signal penetration depth through comprehensive Monte Carlo eXtreme simulations. Utilizing structured, three-phase sinusoidal illumination, fluorescence signals were accurately decomposed into distinct surface and subsurface components. Experimental validation was performed using agar-based capillary phantoms and a time-gated intensified charged coupled device coupled with a digital micromirror device imaging system. Further demonstrating its practical utility, we successfully applied HSF-FLI to preclinical drug delivery assessments employing Förster resonance energy transfer MFLI. The method was rigorously validated using mouse tumor xenograft models and cross-validated through analyses. Overall, by integrating structure illumination techniques with physics-based depth modeling, HSF-FLI achieves precise depth-selective FLI. This advancement significantly enhances the accuracy, biological interpretation, and applicability of FLI, positioning HSF-FLI as a valuable tool for translational research.
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10. Recent advancements in molecular photoacoustic tomography.
PMID:日期:2025-07-28Photoacoustic tomography (PAT) is an emerging biomedical imaging technology that combines the molecular sensitivity of optical imaging with the spatial resolution of ultrasonic imaging in deep tissue. Molecular PAT, a subset of PAT, takes advantage of the specific absorption of molecules to reveal tissue structures, functions, and dynamics. Thanks to the high sensitivity to the optical absorption of molecules, PAT can selectively image those molecules by tuning the excitation wavelength to each target's optical absorption signature. PAT has imaged various molecular targets , ranging from endogenous chromophores, e.g. hemoglobin, melanin, and lipids, to specialized exogenous contrasts such as organic dyes, genetically encoded proteins, and nano/microparticles. Each molecular contrast hosts inherent advantages. Endogenous contrasts allow for truly noninvasive imaging but cannot attain high specificity or sensitivity for many biological processes, whereas artificial exogenous contrasts can. Recent advances in imaging these contrast agents have shown the immense potential of photoacoustic imaging for diagnosing, monitoring, and treating medical conditions, along with studying the fundamental processes .