{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(2)"],"submitter":["Guo Q"],"pubmed_abstract":["The pancreatic islet is a highly structured micro-organ that produces insulin in response to rising blood glucose. Here we develop a label-free and automatic imaging approach to visualize the islets <i>in situ</i> in diabetic rodents by the synchrotron radiation X-ray phase-contrast microtomography (SRμCT) at the ID17 station of the European Synchrotron Radiation Facility. The large-size images (3.2 mm × 15.97 mm) were acquired in the pancreas in STZ-treated mice and diabetic GK rats. Each pancreas was dissected by 3000 reconstructed images. The image datasets were further analysed by a self-developed deep learning method, AA-Net. All islets in the pancreas were segmented and visualized by the three-dimension (3D) reconstruction. After quantifying the volumes of the islets, we found that t"],"journal":["Heliyon"],"pagination":["e13081"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9883183"],"repository":["biostudies-literature"],"pubmed_title":["Reduced volume of diabetic pancreatic islets in rodents detected by synchrotron X-ray phase-contrast microtomography and deep learning network."],"pmcid":["PMC9883183"],"pubmed_authors":["Bravin A","Fang X","Zhang E","AlKendi A","Jiang X","Renstrom E","Guo Q","Mittone A","Larsson E","Wang L"],"additional_accession":[]},"is_claimable":false,"name":"Reduced volume of diabetic pancreatic islets in rodents detected by synchrotron X-ray phase-contrast microtomography and deep learning network.","description":"The pancreatic islet is a highly structured micro-organ that produces insulin in response to rising blood glucose. Here we develop a label-free and automatic imaging approach to visualize the islets <i>in situ</i> in diabetic rodents by the synchrotron radiation X-ray phase-contrast microtomography (SRμCT) at the ID17 station of the European Synchrotron Radiation Facility. The large-size images (3.2 mm × 15.97 mm) were acquired in the pancreas in STZ-treated mice and diabetic GK rats. Each pancreas was dissected by 3000 reconstructed images. The image datasets were further analysed by a self-developed deep learning method, AA-Net. All islets in the pancreas were segmented and visualized by the three-dimension (3D) reconstruction. After quantifying the volumes of the islets, we found that t","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-21T22:37:23.99Z","creation":"2025-04-05T18:49:03.528Z"},"accession":"S-EPMC9883183","cross_references":{"pubmed":["36718155"],"doi":["10.1016/j.heliyon.2023.e13081"]}}