npj ImagingPub Date : 2025-01-01Epub Date: 2025-01-24DOI: 10.1038/s44303-024-00056-w
Brianna Kelly, Jeanette E Boudreau, Steven Beyea, Kimberly Brewer
{"title":"Molecular imaging of viral pathogenesis and opportunities for the future.","authors":"Brianna Kelly, Jeanette E Boudreau, Steven Beyea, Kimberly Brewer","doi":"10.1038/s44303-024-00056-w","DOIUrl":"10.1038/s44303-024-00056-w","url":null,"abstract":"<p><p>Molecular imaging is used in clinical and research settings. Since tools to study viral pathogenesis longitudinally and systemically are limited, molecular imaging is an attractive and largely unexplored tool. This review discusses molecular imaging probes and techniques for studying viruses, particularly those currently used in oncology that are applicable to virology. Expanding the repertoire of probes to better detect viral disease may make imaging even more valuable in (pre-)clinical settings.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11761071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054746","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-03-04DOI: 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":"<p><p>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 <i>Streptococcus pneumoniae</i> 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.</p>","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-04-09DOI: 10.1038/s44303-025-00076-0
Chengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo, Casey E Stowers, Sriram Ravula, Brett Levac, Alexandros G Dimakis, Jonathan I Tamir, Kristy K Brock, Caroline Chung, Thomas E Yankeelov
{"title":"A critical assessment of artificial intelligence in magnetic resonance imaging of cancer.","authors":"Chengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo, Casey E Stowers, Sriram Ravula, Brett Levac, Alexandros G Dimakis, Jonathan I Tamir, Kristy K Brock, Caroline Chung, Thomas E Yankeelov","doi":"10.1038/s44303-025-00076-0","DOIUrl":"https://doi.org/10.1038/s44303-025-00076-0","url":null,"abstract":"<p><p>Given the enormous output and pace of development of artificial intelligence (AI) methods in medical imaging, it can be challenging to identify the true success stories to determine the state-of-the-art of the field. This report seeks to provide the magnetic resonance imaging (MRI) community with an initial guide into the major areas in which the methods of AI are contributing to MRI in oncology. After a general introduction to artificial intelligence, we proceed to discuss the successes and current limitations of AI in MRI when used for image acquisition, reconstruction, registration, and segmentation, as well as its utility for assisting in diagnostic and prognostic settings. Within each section, we attempt to present a balanced summary by first presenting common techniques, state of readiness, current clinical needs, and barriers to practical deployment in the clinical setting. We conclude by presenting areas in which new advances must be realized to address questions regarding generalizability, quality assurance and control, and uncertainty quantification when applying MRI to cancer to maintain patient safety and practical utility.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"15"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11981920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001706","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-04-08DOI: 10.1038/s44303-025-00074-2
Chao J Liu, William Ammon, Robert J Jones, Jackson C Nolan, Dayang Gong, Chiara Maffei, Nathan Blanke, Brian L Edlow, Jean C Augustinack, Caroline Magnain, Anastasia Yendiki, Martin Villiger, Bruce Fischl, Hui Wang
{"title":"Three-dimensional fiber orientation mapping of ex vivo human brain at micrometer resolution.","authors":"Chao J Liu, William Ammon, Robert J Jones, Jackson C Nolan, Dayang Gong, Chiara Maffei, Nathan Blanke, Brian L Edlow, Jean C Augustinack, Caroline Magnain, Anastasia Yendiki, Martin Villiger, Bruce Fischl, Hui Wang","doi":"10.1038/s44303-025-00074-2","DOIUrl":"https://doi.org/10.1038/s44303-025-00074-2","url":null,"abstract":"<p><p>The accurate measurement of three-dimensional (3D) fiber orientation in the brain is crucial for reconstructing fiber pathways and studying their involvement in neurological diseases. Comprehensive reconstruction of axonal tracts and small fascicles requires high-resolution technology beyond the ability of current in vivo imaging (e.g., diffusion magnetic resonance imaging). Optical imaging methods such as polarization-sensitive optical coherence tomography (PS-OCT) can quantify fiber orientation at micrometer resolution but have been limited to two-dimensional in-plane orientation, preventing the comprehensive study of connectivity in 3D. In this work we present a novel method to quantify volumetric 3D orientation in full angular space with PS-OCT in postmortem human brain tissues. We measure the polarization contrasts of the brain sample from two illumination angles of 0 and 15° and apply a computational method that yields the 3D optic axis orientation and true birefringence. We further present 3D fiber orientation maps of entire coronal cerebrum sections and brainstem with 10 μm in-plane resolution, revealing unprecedented details of fiber configurations. We envision that our method will open a promising avenue towards large-scale 3D fiber axis mapping in the human brain as well as other complex fibrous tissues at microscopic level.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11978517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144049493","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-05-03DOI: 10.1038/s44303-025-00078-y
Kerem Nernekli, Dilyana B Mangarova, Vidyani Suryadevara, Mohammadjavad Hajipour, Jian-Hong Tang, Jie Wang, Tie Liang, Marek Harris, Tsuyoshi Ueyama, Jennifer K Lyons, Michael E Moseley, Raheleh Roudi, Laura Pisani, Ricarda von Krüchten, Ramesh Duwa, Sarah Ying Lu-Liang, Zahra Shokri Varniab, Iryna Vasyliv, Neeladrisingha Das, Masatoshi Murayama, Issei Shinohara, Guillem Pratx, Stuart B Goodman, Thomas J Meade, Heike E Daldrup-Link
{"title":"MRI detection of senescent cells in porcine knee joints with a β-galactosidase responsive Gd-chelate.","authors":"Kerem Nernekli, Dilyana B Mangarova, Vidyani Suryadevara, Mohammadjavad Hajipour, Jian-Hong Tang, Jie Wang, Tie Liang, Marek Harris, Tsuyoshi Ueyama, Jennifer K Lyons, Michael E Moseley, Raheleh Roudi, Laura Pisani, Ricarda von Krüchten, Ramesh Duwa, Sarah Ying Lu-Liang, Zahra Shokri Varniab, Iryna Vasyliv, Neeladrisingha Das, Masatoshi Murayama, Issei Shinohara, Guillem Pratx, Stuart B Goodman, Thomas J Meade, Heike E Daldrup-Link","doi":"10.1038/s44303-025-00078-y","DOIUrl":"https://doi.org/10.1038/s44303-025-00078-y","url":null,"abstract":"<p><p>Senescent cells promote osteoarthritis progression through the secretion of inflammatory mediators. Preclinical studies have identified senescence-associated beta-galactosidase (β-gal) as a biomarker of senescence, but in vivo detection remains challenging. Here, we evaluated whether a β-gal responsive gadolinium (Gd) chelate can non-invasively detect β-gal expressing senescent cells with standard clinical magnetic resonance imaging (MRI) technology in vitro, ex vivo, and in vivo in porcine joints. In vitro studies showed that senescent mesenchymal stromal cells (MSCs) exhibited significant MRI signal enhancement upon incubation with the β-gal responsive Gd-chelate compared to viable control cells. In vivo, intraarticular injection of the probe into pig knee joints revealed its retention and activation by senescent cells in cartilage defects, evidenced by a significant increase in <i>R</i> <sub>1</sub> relaxation rate. MRI-based senescent cell detection holds promise for identifying patients amenable to senolytic therapies, tailoring treatment plans, and monitoring therapy response in real-time.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12049270/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047874","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-01-31DOI: 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":"<p><p>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.</p>","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-04-24DOI: 10.1038/s44303-025-00079-x
Venkatesh Mani, Winston T Chu, Hee-Jeong Yang, C Paul Morris, Joseph Laux, Russell Byrum, Kurt Cooper, David X Liu, Hui Wang, Cristal Johnson, Kyra Hadley, John G Bernbaum, Randy Hart, Scott M Anthony, Anthony E Marketon, Rebecca Bernbaum-Cutler, Bapi Pahar, Gabriella Worwa, Jens H Kuhn, Ian Crozier, Claudia Calcagno, Eric Gale
{"title":"Reactive oxygen species-related oxidative changes are associated with splenic lymphocyte depletion in Ebola virus infection.","authors":"Venkatesh Mani, Winston T Chu, Hee-Jeong Yang, C Paul Morris, Joseph Laux, Russell Byrum, Kurt Cooper, David X Liu, Hui Wang, Cristal Johnson, Kyra Hadley, John G Bernbaum, Randy Hart, Scott M Anthony, Anthony E Marketon, Rebecca Bernbaum-Cutler, Bapi Pahar, Gabriella Worwa, Jens H Kuhn, Ian Crozier, Claudia Calcagno, Eric Gale","doi":"10.1038/s44303-025-00079-x","DOIUrl":"https://doi.org/10.1038/s44303-025-00079-x","url":null,"abstract":"<p><p>The dysregulated production of reactive oxygen species (ROS) during viral infections may lead to immune cell death and ineffective host responses. ROS dynamics have been under-investigated in severe Ebola virus disease (EVD), a condition in which hyperinflammation and excessive immune cell death are well described but poorly understood. Through ex vivo immunohistochemistry and in vivo ROS-sensitive magnetic resonance imaging (MRI) we demonstrate significant ROS-related oxidative changes in the spleens of domestic ferrets exposed to Ebola virus (EBOV). By immunohistochemistry or MRI, detection of splenic ROS was inversely correlated with the number of CD4<sup>+</sup>/CD8<sup>+</sup> T lymphocytes and apoptotic CD8<sup>+</sup> lymphocytes, but detection was positively correlated with the frequency of apoptotic CD4<sup>+</sup> cells and the number and frequency of apoptotic B lymphocytes. These results suggest that ROS-induced apoptosis may contribute to the loss of splenic CD4<sup>+</sup> T lymphocytes in EBOV-exposed ferrets and warrant further investigation of the role of ROS in severe EVD.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"16"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12021656/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065116","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}
npj ImagingPub Date : 2025-01-01Epub Date: 2025-03-20DOI: 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 [<sup>13</sup>C,<sup>15</sup>N<sub>2</sub>]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":"<p><p>This study developed a new approach to produce sterile, hyperpolarized [<sup>13</sup>C,<sup>15</sup>N<sub>2</sub>]urea as a novel molecular imaging probe and applied it for first-ever healthy brain volunteer studies. Hyperpolarized [<sup>13</sup>C,<sup>15</sup>N<sub>2</sub>]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 [<sup>13</sup>C,<sup>15</sup>N<sub>2</sub>]urea solution (132 ± 6 mM) with 27.4 ± 5.6% polarization and a T<sub>1</sub> = 50.4 ± 0.2 s. In healthy brain volunteer studies, high-resolution <sup>13</sup>C imaging captured blood flow with a spatial resolution of 7.76 × 7.76 × 15 (or 10) mm<sup>3</sup> over ~1 min following hyperpolarized [<sup>13</sup>C,<sup>15</sup>N<sub>2</sub>]urea injection, visualizing detailed vascular structures. Time-to-peak and centroid analyses showed consistent arterial and venous signal patterns across subjects. Findings suggest hyperpolarized [<sup>13</sup>C,<sup>15</sup>N<sub>2</sub>]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.</p>","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}
npj ImagingPub Date : 2024-12-31DOI: 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}
npj ImagingPub Date : 2024-12-12DOI: 10.1038/s44303-024-00062-y
Hongje Jang, Shuang Wu, Yajuan Li, Zhi Li, Lingyan Shi
{"title":"Metabolic nanoscopy enhanced by experimental and computational approaches","authors":"Hongje Jang, Shuang Wu, Yajuan Li, Zhi Li, Lingyan Shi","doi":"10.1038/s44303-024-00062-y","DOIUrl":"10.1038/s44303-024-00062-y","url":null,"abstract":"The advances in microscopy techniques have led to new findings in biology. The recent advances in super-resolution microscopy technologies revealed precise molecular distribution. The techniques to visualize the distributions of multiple molecules in biological samples from experimental techniques to computational approaches are reviewed. By summarizing the techniques, the future direction of collaborative research of the techniques is highlighted to show the nanoscopic chemical details of biological samples.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00062-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142811336","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}
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