npj Imaging最新文献

MRI detects blood-brain barrier alterations in a rat model of Alzheimer's disease and lung infection.

npj Imaging Pub Date : 2025-01-01 Epub Date: 2025-03-04 DOI: 10.1038/s44303-025-00071-5

Yolanda Ohene, William J Morrey, Elizabeth Powell, Katherine F Smethers, Nadim Luka, Kieron South, Michael Berks, Catherine B Lawrence, Geoff J M Parker, Laura M Parkes, Hervé Boutin, Ben R Dickie

{"title":"MRI detects blood-brain barrier alterations in a rat model of Alzheimer's disease and lung infection.","authors":"Yolanda Ohene, William J Morrey, Elizabeth Powell, Katherine F Smethers, Nadim Luka, Kieron South, Michael Berks, Catherine B Lawrence, Geoff J M Parker, Laura M Parkes, Hervé Boutin, Ben R Dickie","doi":"10.1038/s44303-025-00071-5","DOIUrl":"10.1038/s44303-025-00071-5","url":null,"abstract":"Pneumonia is a common infection in people suffering with Alzheimer's disease, leading to delirium, critical illness or severe neurological decline, which may be due to an amplified response of the blood-brain barrier (BBB) to peripheral insult. We assess the response of the BBB to repeated Streptococcus pneumoniae lung infection in rat model of Alzheimer's disease (TgF344-AD), at 13- and 18-months old, using dynamic contrast-enhanced (DCE) MRI and filter exchange imaging. Higher BBB water exchange rate is initially detected in infected TgF344-AD rats. BBB water exchange rates correlated with hippocampus aquaporin-4 water channel expression in infected animals. We detected no differences in BBB permeability to gadolinium contrast agent measured by DCE-MRI, confirmed by staining for tight junction proteins, occludin and claudin-5. These findings provide insight into the mechanisms of how peripheral inflammation impacts the BBB.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11879872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143575029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Molecular imaging of viral pathogenesis and opportunities for the future.

npj Imaging Pub Date : 2025-01-01 Epub Date: 2025-01-24 DOI: 10.1038/s44303-024-00056-w

Brianna Kelly, Jeanette E Boudreau, Steven Beyea, Kimberly Brewer

引用次数: 0

Approaching maximum resolution in structured illumination microscopy via accurate noise modeling.

npj Imaging Pub Date : 2025-01-01 Epub Date: 2025-01-31 DOI: 10.1038/s44303-024-00066-8

Ayush Saurabh, Peter T Brown, J Shepard Bryan Iv, Zachary R Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P Shepherd, Steve Pressé

{"title":"Approaching maximum resolution in structured illumination microscopy via accurate noise modeling.","authors":"Ayush Saurabh, Peter T Brown, J Shepard Bryan Iv, Zachary R Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P Shepherd, Steve Pressé","doi":"10.1038/s44303-024-00066-8","DOIUrl":"10.1038/s44303-024-00066-8","url":null,"abstract":"Biological images captured by microscopes are characterized by heterogeneous signal-to-noise ratios (SNRs) due to spatially varying photon emission across the field of view convoluted with camera noise. State-of-the-art unsupervised structured illumination microscopy (SIM) reconstruction methods, commonly implemented in the Fourier domain, often do not accurately model this noise. Such methods therefore suffer from high-frequency artifacts, user-dependent choices of smoothness constraints making assumptions on biological features, and unphysical negative values in the recovered fluorescence intensity map. On the other hand, supervised algorithms rely on large datasets for training, and often require retraining for new sample structures. Consequently, achieving high contrast near the maximum theoretical resolution in an unsupervised, physically principled manner remains an open problem. Here, we propose Bayesian-SIM (B-SIM), a Bayesian framework to quantitatively reconstruct SIM data, rectifying these shortcomings by accurately incorporating known noise sources in the spatial domain. To accelerate the reconstruction process, we use the finite extent of the point-spread-function to devise a parallelized Monte Carlo strategy involving chunking and restitching of the inferred fluorescence intensity. We benchmark our framework on both simulated and experimental images, and demonstrate improved contrast permitting feature recovery at up to 25% shorter length scales over state-of-the-art methods at both high- and low SNR. B-SIM enables unsupervised, quantitative, physically accurate reconstruction without the need for labeled training data, democratizing high-quality SIM reconstruction and expands the capabilities of live-cell SIM to lower SNR, potentially revealing biological features in previously inaccessible regimes.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11785531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Translation of hyperpolarized [¹³C,¹⁵N₂]urea MRI for novel human brain perfusion studies.

npj Imaging Pub Date : 2025-01-01 Epub Date: 2025-03-20 DOI: 10.1038/s44303-025-00073-3

Yaewon Kim, Hsin-Yu Chen, Tanner Nickles, Illia Shkliar, Duy Dang, James Slater, Charlie Wang, Jeremy W Gordon, Chou T Tan, Chris Suszczynski, Sri Maddali, Adam Gaunt, Rui Chen, Javier Villanueva-Meyer, Duan Xu, Peder E Z Larson, John Kurhanewicz, Robert A Bok, Susan Chang, Daniel B Vigneron

{"title":"Translation of hyperpolarized [13C,15N2]urea MRI for novel human brain perfusion studies.","authors":"Yaewon Kim, Hsin-Yu Chen, Tanner Nickles, Illia Shkliar, Duy Dang, James Slater, Charlie Wang, Jeremy W Gordon, Chou T Tan, Chris Suszczynski, Sri Maddali, Adam Gaunt, Rui Chen, Javier Villanueva-Meyer, Duan Xu, Peder E Z Larson, John Kurhanewicz, Robert A Bok, Susan Chang, Daniel B Vigneron","doi":"10.1038/s44303-025-00073-3","DOIUrl":"10.1038/s44303-025-00073-3","url":null,"abstract":"This study developed a new approach to produce sterile, hyperpolarized [13C,15N2]urea as a novel molecular imaging probe and applied it for first-ever healthy brain volunteer studies. Hyperpolarized [13C,15N2]urea, as a small, metabolically inert molecule, offers significant advantages for perfusion imaging due to its endogenous nature and excellent safety profile. The developed methods achieved a hyperpolarized [13C,15N2]urea solution (132 ± 6 mM) with 27.4 ± 5.6% polarization and a T1 = 50.4 ± 0.2 s. In healthy brain volunteer studies, high-resolution 13C imaging captured blood flow with a spatial resolution of 7.76 × 7.76 × 15 (or 10) mm3 over ~1 min following hyperpolarized [13C,15N2]urea injection, visualizing detailed vascular structures. Time-to-peak and centroid analyses showed consistent arterial and venous signal patterns across subjects. Findings suggest hyperpolarized [13C,15N2]urea may have applications beyond brain imaging, including the non-invasive perfusion assessment in various organs, cancer microenvironment, and renal function, paving the way for clinical translation.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11925798/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143694996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers 使用机器学习和FLAIR MRI生物标志物将血管疾病患者分层为均匀亚组

npj Imaging Pub Date : 2024-12-31 DOI: 10.1038/s44303-024-00063-x

Karissa Chan, Corinne Fischer, Pejman Jabehdar Maralani, Sandra E. Black, Alan R. Moody, April Khademi

{"title":"Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers","authors":"Karissa Chan, Corinne Fischer, Pejman Jabehdar Maralani, Sandra E. Black, Alan R. Moody, April Khademi","doi":"10.1038/s44303-024-00063-x","DOIUrl":"10.1038/s44303-024-00063-x","url":null,"abstract":"This study proposes a framework to stratify vascular disease patients based on brain health and cerebrovascular disease (CVD) risk using regional FLAIR biomarkers. Intensity and texture biomarkers were extracted from FLAIR volumes of 379 atherosclerosis patients. K-Means clustering identified five homogeneous subgroups. The 15 most important biomarkers for subgroup differentiation, identified via Random Forest classification, were used to generate biomarker profiles. ANOVA tests showed age and white matter lesion volume were significantly (p < 0.05) different across subgroups, while Fisher’s tests revealed significant (p < 0.05) differences in the prevalence of several vascular risk factors across subgroup. Based on biomarker and clinical profiles, Subgroup 4 was characterized with neurodegeneration unrelated to CVD, Subgroup 3 identified patients with high CVD risk requiring aggressive intervention, and Subgroups 1, 2, and 5 identified patients with varying levels of moderate risk, suitable for long-term lifestyle interventions. This study supports personalized treatment and risk stratification based on FLAIR biomarkers.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00063-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142906165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 nanoscopy enhanced by experimental and computational approaches 实验和计算方法增强的代谢纳米显微镜

npj Imaging Pub Date : 2024-12-12 DOI: 10.1038/s44303-024-00062-y

Hongje Jang, Shuang Wu, Yajuan Li, Zhi Li, Lingyan Shi

引用次数: 0

Automated analysis of ultrastructure through large-scale hyperspectral electron microscopy 通过大规模高光谱电子显微镜自动分析超微结构

npj Imaging Pub Date : 2024-12-11 DOI: 10.1038/s44303-024-00059-7

B. H. Peter Duinkerken, Ahmad M. J. Alsahaf, Jacob P. Hoogenboom, Ben N. G. Giepmans

{"title":"Automated analysis of ultrastructure through large-scale hyperspectral electron microscopy","authors":"B. H. Peter Duinkerken, Ahmad M. J. Alsahaf, Jacob P. Hoogenboom, Ben N. G. Giepmans","doi":"10.1038/s44303-024-00059-7","DOIUrl":"10.1038/s44303-024-00059-7","url":null,"abstract":"Microscopy is a key technique to visualize and understand biology. Electron microscopy (EM) facilitates the investigation of cellular ultrastructure at biomolecular resolution. Cellular EM was recently revolutionized by automation and digitalisation allowing routine capture of large areas and volumes at nanoscale resolution. Analysis, however, is hampered by the greyscale nature of electron images and their large data volume, often requiring laborious manual annotation. Here we demonstrate unsupervised and automated extraction of biomolecular assemblies in conventionally processed tissues using large-scale hyperspectral energy-dispersive X-ray (EDX) imaging. First, we discriminated biological features in the context of tissue based on selected elemental maps. Next, we designed a data-driven workflow based on dimensionality reduction and spectral mixture analysis, allowing the visualization and isolation of subcellular features with minimal manual intervention. Broad implementations of the presented methodology will accelerate the understanding of biological ultrastructure.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00059-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142798608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrahigh-field animal MRI system with advanced technological update 技术更新先进的超高场动物MRI系统

npj Imaging Pub Date : 2024-12-11 DOI: 10.1038/s44303-024-00060-0

Yaohui Wang, Guyue Zhou, Haoran Chen, Pengfei Wu, Wenhui Yang, Feng Liu, Qiuliang Wang

{"title":"Ultrahigh-field animal MRI system with advanced technological update","authors":"Yaohui Wang, Guyue Zhou, Haoran Chen, Pengfei Wu, Wenhui Yang, Feng Liu, Qiuliang Wang","doi":"10.1038/s44303-024-00060-0","DOIUrl":"10.1038/s44303-024-00060-0","url":null,"abstract":"Animal magnetic resonance imaging (MRI) systems typically deliver superior imaging performance over conventional human MRI systems, making them a prevailing instrument in preclinical research. It is challenging to achieve the high performance of these animal MRI systems, due to the multifaceted nature of the various system components and the complexity of integration debugging. This work described the design, fabrication, measurement and integration of a 7 T animal MRI system, which exhibits several performance highlights. Both the magnet and gradient assembly adopted an ultra-shielding strategy, facilitating ease of system installation, maintenance and debugging. The main magnetic field exhibits acceptable homogeneity and stability, and the gradient coil is mechanically reliable thanks to zero-force control. The animal MRI system underwent debugging using proprietary imaging software to generate images of phantoms, fruits and organisms. Further research investigation will be performed to promote more scientific outputs with enhanced functional capabilities.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00060-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142798576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the redox alteration in Duchenne muscular dystrophy model mice using in vivo DNP-MRI 用DNP-MRI评价杜氏肌营养不良模型小鼠氧化还原改变

npj Imaging Pub Date : 2024-12-05 DOI: 10.1038/s44303-024-00058-8

Hinako Eto, Masaharu Murata, Takahito Kawano, Yoko Tachibana, Abdelazim Elsayed Elhelaly, Yoshifumi Noda, Hiroki Kato, Masayuki Matsuo, Fuminori Hyodo

{"title":"Evaluation of the redox alteration in Duchenne muscular dystrophy model mice using in vivo DNP-MRI","authors":"Hinako Eto, Masaharu Murata, Takahito Kawano, Yoko Tachibana, Abdelazim Elsayed Elhelaly, Yoshifumi Noda, Hiroki Kato, Masayuki Matsuo, Fuminori Hyodo","doi":"10.1038/s44303-024-00058-8","DOIUrl":"10.1038/s44303-024-00058-8","url":null,"abstract":"Duchenne muscular dystrophy (DMD) is a genetic muscular disease and is the most common type of muscular dystrophy in Japan. Noninvasive magnetic resonance imaging (MRI) can be used for follow-up evaluation of myositis and muscular dystrophy, including DMD and inflammation is evaluated based on the increased muscle water as evaluated by T2-weighted MR images. However, in MDM, the redox status has not been evaluated non-invasively during the disease progression. We assessed the inflammation via the redox status in experimental animal disease models using in vivo dynamic nuclear polarization MRI (DNP-MRI) with a redox probe. The current study aimed to evaluate the skeletal muscle of mdx mice, a DMD model, in which muscle fiber necrosis, inflammation, and muscle regeneration were chronically repeated. Results showed that the reduction rate of Carbamoyl-PROXYL (CmP), one of the redox probes, radicals in mdx mice increased compared with that in normal mice. In vitro, more mitochondria or macrophages enhanced the radical form decay reaction by reducing CmP. Due to muscle fiber damage, the mdx mice had a lower mitochondrial concentration in the gastrocnemius muscle than the normal mice. However, the in vivo DNP-MRI results strongly reflected the increased reduction of CmP radicals by macrophages. In conclusion, in vivo DNP-MRI, a noninvasive imaging method is useful for locally evaluating skeletal muscle inflammation.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00058-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Super-resolution imaging of the neuronal cytoskeleton 神经元细胞骨架的超分辨率成像

npj Imaging Pub Date : 2024-12-04 DOI: 10.1038/s44303-024-00054-y

Ciarán Butler-Hallissey, Christophe Leterrier

引用次数: 0