npj ImagingPub Date : 2026-05-08DOI: 10.1038/s44303-026-00148-9
Xusan Yang, Siyang Liu, Fei Xia, Meiqi Wu, Chris Xu, Steven G Adie
{"title":"Simultaneous three-photon and optical coherence microscopy deep within an intact mouse brain.","authors":"Xusan Yang, Siyang Liu, Fei Xia, Meiqi Wu, Chris Xu, Steven G Adie","doi":"10.1038/s44303-026-00148-9","DOIUrl":"https://doi.org/10.1038/s44303-026-00148-9","url":null,"abstract":"<p><p>Multimodal microscopy combining various imaging approaches can provide complementary information about tissue in a single imaging session. Here, we demonstrate a multimodal approach combining three-photon microscopy (3PM) and spectral-domain optical coherence microscopy (SD-OCM). We show that an optical parametric amplifier (OPA) laser source, which is the standard source for three-photon (3P) fluorescence excitation and third harmonic generation (THG), can be used for simultaneous optical coherence microscopy (OCM), 3P fluorescence and THG imaging. We demonstrate the system performance in deep mouse brains in vivo with an OPA source operating at 1620 nm center wavelength. We visualized small structures such as myelinated axons, neurons, and large fiber tracts in white matter with high spatial resolution noninvasively using linear and nonlinear contrast mechanisms at depth exceeding 1 mm in the intact adult mouse brain. Our results show that simultaneous OCM and 3PM at the long wavelength window can be conveniently combined for deep tissue imaging in vivo.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147848569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj ImagingPub Date : 2026-05-04DOI: 10.1038/s44303-026-00168-5
Alexis M Sanwick, Daiane S Alves, Katherine N Haugh, Francisco N Barrera, Ivis F Chaple
{"title":"[<sup>64</sup>Cu]Cu-DOTA-TYPE7: a targeted PET radiotracer for imaging EphA2+ tumors.","authors":"Alexis M Sanwick, Daiane S Alves, Katherine N Haugh, Francisco N Barrera, Ivis F Chaple","doi":"10.1038/s44303-026-00168-5","DOIUrl":"https://doi.org/10.1038/s44303-026-00168-5","url":null,"abstract":"<p><p>The EphA2 receptor tyrosine kinase has been implicated in cellular transformation and malignancy and is frequently overexpressed in a wide range of cancers, including those of the breast, bladder, esophagus, pancreas, prostate, lung, and colon. Due to its oncogenic relevance, EphA2 represents an attractive molecular target for precision imaging and therapy. This study reports the development of a novel <sup>64</sup>Cu-labeled peptide, TYPE7, for PET imaging of EphA2 expressing tumors. TYPE7 is a soluble peptide that integrates into the cell membrane where it targets EphA2 to induce receptor oligomerization and phosphorylation. Here, we describe the synthesis and characterization of [<sup>64</sup>Cu]Cu-DOTA-TYPE7 and evaluate its in vitro binding properties and in vivo performance in an EphA2+ tumor model. [<sup>64</sup>Cu]Cu-DOTA-TYPE7 was synthesized under mild reaction conditions, exhibiting radiochemical yields > 95%. The results obtained from the cellular binding assays using PANC-1 (EphA2 + ) and HEK-293T (EphA2-) cell lines support EphA2 specific binding. PET imaging enabled clear visualization of EphA2+ tumors, with peak uptake observed 4 h post injection, consistent with ex vivo biodistribution results. Together, these findings establish [<sup>64</sup>Cu]Cu-DOTA-TYPE7 as a promising PET tracer for imaging EphA2-expressing diseases and provides a foundation for future development of EphA2-targeted theranostic applications.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147848545","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 : 2026-05-04DOI: 10.1038/s44303-026-00169-4
Luisa Caselitz, Merle Claßen, Adrian Bühler, Lars-Philip Paulus, Henriette Grieshaber-Bouyer Mandelbaum, Emmanuel Nedoschill, Joachim Wölfle, André Hörning, Ferdinand Knieling, Adrian Philip Regensburger, Felix Wachter
{"title":"Non-invasive measurement of accelerated gastrointestinal transit in pediatric patients using Contrast-enhanced Multispectral optoacoustic tomography.","authors":"Luisa Caselitz, Merle Claßen, Adrian Bühler, Lars-Philip Paulus, Henriette Grieshaber-Bouyer Mandelbaum, Emmanuel Nedoschill, Joachim Wölfle, André Hörning, Ferdinand Knieling, Adrian Philip Regensburger, Felix Wachter","doi":"10.1038/s44303-026-00169-4","DOIUrl":"https://doi.org/10.1038/s44303-026-00169-4","url":null,"abstract":"<p><p>Functional intestinal disorders are common; however, current imaging modalities are limited. Contrast-enhanced Multispectral optoacoustic tomography (CE-MSOT) represents a novel, non-invasive, and radiation-free imaging technique that enables assessment of gastrointestinal transit time through the use of orally administered contrast agents. This could aid in symptom evaluation and diagnostic clarification in bowel disorders. A clinical pilot-study was conducted (Registry: ClinicalTrials.gov, TRN: NCT06617364, Registration date: 24 September 2024) involving 10 pediatric patients presenting with gastrointestinal complaints undergoing a lactose hydrogen breath test. CE-MSOT was performed following the oral administration of Indocyanine Green (ICG) as a contrast agent. In the terminal ileum and sigmoid colon multispectral optoacoustic tomography (MSOT) signals were spectrally unmixed to isolate ICG-specific signals. The appearance of ICG in these segments was used to estimate gastrointestinal transit time. ICG signals were detected in the terminal ileum as early as 13 min after oral administration (median: 80 min), and in the sigmoid colon as early as 41 min (median: 125 min).</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147848626","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 : 2026-05-04DOI: 10.1038/s44303-026-00164-9
Darren B McAffee, Qiang Hu, Assame Arnob, Hung-Jen Wu, Jay T Groves
{"title":"Homogeneous image-based digital immunoassays with high error tolerance.","authors":"Darren B McAffee, Qiang Hu, Assame Arnob, Hung-Jen Wu, Jay T Groves","doi":"10.1038/s44303-026-00164-9","DOIUrl":"https://doi.org/10.1038/s44303-026-00164-9","url":null,"abstract":"<p><p>There is a significant global health need to translate more in vitro diagnostic tests from clinical laboratories to field-based applications, including point-of-care and self-administered test formats. These applications typically require smaller sample sizes, limit sample processing and measurement capabilities, and introduce greater handling variability. Error tolerance is one of the most critical factors for successful field-based assay design. Here, we examine machine-learning (ML) strategies to enhance the error tolerance of image-based nanoparticle immunoassays. Random dispersions of nanoparticles were imaged in microliter sample volumes, and images were processed to determine analyte concentrations based on nanoparticle appearance. Assay performance was characterized using two common blood analytes: C-reactive protein and anti-SARS-CoV-2 IgG. We compare the results from conventional image analysis, a hybrid ML-conventional approach based on pixel segmentation, and end-to-end image regression using a targeted regularization strategy. Using serum samples from SARS-CoV-2 positive individuals, the segmentation-based approach enabled binary classification with 96% specificity and 90% sensitivity, matching seroconversion rates. The end-to-end regression model achieved superior quantitative performance (5.2 ng/mL), approaching ELISA-level detection range (0.01-10 ng/mL, depending on capture antibody affinity) in a single 30 min workflow without sample preprocessing. The limit of detection for digital molecular assays is not fixed, and we perform a theoretical analysis showing how adjusting particle counts and polydispersity can achieve arbitrary sensitivity down to the Poisson limit. Training images for the full image regression approach required only a single label-the analyte concentration-eliminating labor-intensive pixel-level labeling. Ultimately, the image-based readouts significantly improved dynamic range, sensitivity, and reproducibility over conventional readouts.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147848585","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 : 2026-05-04DOI: 10.1038/s44303-026-00161-y
Taylor L Bobrow, Mayank Golhar, Suchapa Arayakarnkul, Anthony A Song, Saowanee Ngamruengphong, Nicholas J Durr
{"title":"Multi-contrast laser endoscopy for in vivo gastrointestinal imaging.","authors":"Taylor L Bobrow, Mayank Golhar, Suchapa Arayakarnkul, Anthony A Song, Saowanee Ngamruengphong, Nicholas J Durr","doi":"10.1038/s44303-026-00161-y","DOIUrl":"https://doi.org/10.1038/s44303-026-00161-y","url":null,"abstract":"<p><p>White light endoscopy is the clinical gold standard for detecting diseases in the gastrointestinal tract. Most applications involve identifying visual abnormalities in tissue color, texture, and shape. Unfortunately, the contrast of these features is often subtle, causing many clinically relevant cases to go undetected. To overcome this challenge, we introduce Multi-contrast Laser Endoscopy (MLE): a platform for widefield clinical imaging with rapidly tunable spectral, coherent, and directional illumination. We demonstrate three capabilities of MLE: enhancing tissue chromophore contrast with multispectral diffuse reflectance, quantifying blood flow using laser speckle contrast imaging, and characterizing mucosal topography using photometric stereo. We validate MLE with benchtop models, then demonstrate MLE in vivo during clinical colonoscopies. MLE images from 31 polyps demonstrate an approximate three-fold improvement in contrast and a five-fold improvement in color difference compared to white light and narrow band imaging. With the ability to reveal multiple complementary types of tissue contrast while seamlessly integrating into the clinical environment, MLE shows promise as an investigative tool to improve gastrointestinal imaging.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147848640","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 : 2026-04-16DOI: 10.1038/s44303-026-00162-x
Paul S Jacobs, Neil Wilson, Wyger Brink, John Detre, Mark Elliott, Ravinder Reddy
{"title":"Enhancement of in vivo 7T magnetic resonance neuroimaging via flexible metasurfaces.","authors":"Paul S Jacobs, Neil Wilson, Wyger Brink, John Detre, Mark Elliott, Ravinder Reddy","doi":"10.1038/s44303-026-00162-x","DOIUrl":"10.1038/s44303-026-00162-x","url":null,"abstract":"<p><p>Ultra-high-field (≥7T) MRI suffers from poor transmit (B₁⁺) homogeneity, particularly in neuroimaging. This study evaluated paired metasurfaces near the temporal lobes in five healthy volunteers versus dielectric pads and reference scans. Metasurfaces markedly improved SNR across the brain (FLAIR: ~24%, MPRAGE: ~97%) and in the temporal lobes (FLAIR: ~57%, MPRAGE: ~212%), also recovering signal in the cerebellum and neck. Simulations indicated a 23.5% increase in peak SAR compared to reference.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13087254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147701428","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 : 2026-04-16DOI: 10.1038/s44303-026-00165-8
Chul-Hee Lee, Thomas Ruan, Shuvra Debnath, Anja S Wacker, Grace Figlioli, John W Babich, Sadek A Nehmeh, Kayvan R Keshari, James M Kelly
{"title":"[3-<sup>11</sup>C]Pyruvate PET detects alterations in cardiac pyruvate metabolism induced by doxorubicin chemotherapy.","authors":"Chul-Hee Lee, Thomas Ruan, Shuvra Debnath, Anja S Wacker, Grace Figlioli, John W Babich, Sadek A Nehmeh, Kayvan R Keshari, James M Kelly","doi":"10.1038/s44303-026-00165-8","DOIUrl":"10.1038/s44303-026-00165-8","url":null,"abstract":"<p><p>Changes in cardiac metabolism typically precede cardiac dysfunction and therefore represent an important target for diagnosis and treatment designed to prevent progression to heart failure, a leading cause of death. Profound changes in pyruvate metabolism, including reduced expression of the mitochondrial pyruvate carrier (MPC), are increasingly recognized as early maladaptive alterations in cardiomyopathies, but no methods currently exist to determine MPC expression in vivo. We exposed mice to doxorubicin (DOX), an anthracycline chemotherapeutic known to perturb pyruvate metabolism, and demonstrated that cardiac tissue levels of MPC decrease within 4 weeks of initial DOX exposure. Using a combination of stable isotope tracing metabolomics, hyperpolarized [1-<sup>13</sup>C]pyruvate magnetic resonance imaging (MRI), and [3-<sup>11</sup>C]pyruvate positron emission tomography (PET), we found that loss of MPC and monocarboxylate transporter 1 (MCT1) resulted in decreased utilization of pyruvate for mitochondrial oxidative metabolism and resulted in decreased cardiac carbon-11 clearance. Despite recovery of expression levels of pyruvate transporters, including MPC, 16 weeks after initial DOX exposure, cardiac carbon-11 clearance still trends towards differences between control mice and the mice exposed to this chemotherapeutic. [3-<sup>11</sup>C]Pyruvate PET is therefore a promising approach to imaging cardiac pyruvate transport with potential applications to the identification of early maladaptive changes in pyruvate metabolism and monitoring response to therapy.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13087250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147701446","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 : 2026-04-14DOI: 10.1038/s44303-026-00159-6
J Zimmermann, M Pezzotti, E Torchia, A Enrico, S Rigolli, M Di Sante, F S Pasqualini
{"title":"Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning.","authors":"J Zimmermann, M Pezzotti, E Torchia, A Enrico, S Rigolli, M Di Sante, F S Pasqualini","doi":"10.1038/s44303-026-00159-6","DOIUrl":"10.1038/s44303-026-00159-6","url":null,"abstract":"<p><p>The FUCCI sensor fluorescently labels cell cycle phases, which is essential to assess normal and abnormal cell-cycle progression in physiological and pathological conditions of developing organisms. However, accurate cell-cycle decoding is challenging in the low signal-to-noise conditions typical of multiplexed live cell imaging. To address this challenge, we developed deep learning networks that integrate FUCCI signals with a cytoplasmic alpha-tubulin fluorescent reporter. Our approach outperforms existing methods for both segmenting and classifying FUCCI nuclei, even in low signal-to-noise conditions. The resulting high-accuracy segmentation enables robust automated tracking. We leverage this to introduce a dynamic time warping analysis that determines cell cycle pseudotime from incomplete tracks and can detect cell cycle arrest. We provide pre-trained networks for multichannel FUCCI analysis, offering a powerful tool for studies in cancer research, development, and mechanobiology.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13079876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147694270","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 : 2026-04-10DOI: 10.1038/s44303-026-00163-w
James E D Tweel, Benjamin R Ecclestone, James A Tummon Simmons, Parsin Haji Reza
{"title":"Author Correction: Label-free whole slide virtual multi-staining using dual-excitation photon absorption remote sensing microscopy.","authors":"James E D Tweel, Benjamin R Ecclestone, James A Tummon Simmons, Parsin Haji Reza","doi":"10.1038/s44303-026-00163-w","DOIUrl":"10.1038/s44303-026-00163-w","url":null,"abstract":"","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13068970/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147655651","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 : 2026-04-09DOI: 10.1038/s44303-026-00157-8
Jessica T Gosse, Caitrin Sobey Skelton, Marie-Laurence Tremblay, Hailey Wyatt, Victoria Gonzalez, Bassel Dawod, Andrea Nuschke, Christa Davis, Brennan Dirk, Ava Vila-Leahey, Alecia Mackay, Kim Bobbitt, Andrea West, Barbara Vanderhyden, Genevieve Weir, Alexandra Merkx-Jacques, Marianne Stanford, Olga Hrytsenko, Kimberly D Brewer
{"title":"MRI of combination immunotherapy in an epithelial ovarian cancer preclinical model.","authors":"Jessica T Gosse, Caitrin Sobey Skelton, Marie-Laurence Tremblay, Hailey Wyatt, Victoria Gonzalez, Bassel Dawod, Andrea Nuschke, Christa Davis, Brennan Dirk, Ava Vila-Leahey, Alecia Mackay, Kim Bobbitt, Andrea West, Barbara Vanderhyden, Genevieve Weir, Alexandra Merkx-Jacques, Marianne Stanford, Olga Hrytsenko, Kimberly D Brewer","doi":"10.1038/s44303-026-00157-8","DOIUrl":"10.1038/s44303-026-00157-8","url":null,"abstract":"<p><p>Immunotherapies such as checkpoint inhibitors (i.e. anti-PD-1) and peptide-based therapies (DPX-Survivac) have strong potential for treatment of epithelial ovarian cancer, the most lethal gynecological malignancy. Magnetic resonance imaging (MRI) can be used to track tumor growth and iron-labeled immune cells longitudinally at the individual level. We studied MRI immune cell tracking in a murine model of ovarian cancer using a clinically relevant treatment combination of DPX-Survivac, anti-PD-1, and an intermittent low dose of Cyclophosphamide (CPA). HHD-DR1 mice were orthotopically implanted with mouse ovarian surface epithelial (MOSE) cancer cells. Myeloid and CD8<sup>+</sup> cells were isolated from matched donor mice, labeled with superparamagnetic iron oxide (SPIO) and were scanned using MRI on days 42, 49 and 56. Tumor volumes in the treatment group as measured by MRI were significantly lower than in the control group (p < 0.01). The density of SPIO-labeled myeloid and CD8<sup>+</sup> T cells in tumors was higher in the treatment group than in the control group. This study provides insights into how MRI can be used in concert with biological assays to study how immunotherapy and chemotherapy combinations exert their antitumor effects.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066022/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647915","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}