<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD1184</full_dataset_link><repository>bioimages</repository><figure_sub>Specimen</figure_sub><figure_sub>Image analysis</figure_sub><figure_sub>Study Component</figure_sub><figure_sub>organisation</figure_sub><figure_sub>Biosample</figure_sub><figure_sub>Associations</figure_sub><figure_sub>Image acquisition</figure_sub><pubmed_authors>Vira Kravets</pubmed_authors><pubmed_authors>Rachel S. Friedman</pubmed_authors><pubmed_authors>Laura Pyle</pubmed_authors><pubmed_authors>Jennifer C. Whitesell</pubmed_authors><pubmed_authors>Nirmala V. Balasenthilkumaran</pubmed_authors></additional><is_claimable>false</is_claimable><name>Whole slide images of pancreatic cross-sections of NOD mice stained with antibodies: CD11c, CD113, DAPI, F4/80, glucagon, insulin and IL-1β.</name><description>We provide a dataset of 11 whole-slide images of pancreatic cross-sections of non-obese diabetic (NOD) mice that were stained for CD11c (for myeloid cells), CD3 (for T-cells), DAPI (for nuclei), F4/80 (for macrophages), glucagon (for α-cells), insulin (for β-cells), and IL-1β. We performed 7 color multispectral imaging using the Akoya Biosciences Vectra Polaris instrument under 20X magnification and a pixel size of 0.5 μm/px. We also provide clinical data including the age of surgery, highest blood glucose recording, number of intact islets in the cross section, and the range of insulitis degrees (T-/β-cell count ratios - calculated for each islet).  </description><dates><release>2024-05-23T00:00:00Z</release><modification>2024-05-23T23:56:54.211Z</modification><creation>2024-05-23T23:56:54.211Z</creation></dates><accession>S-BIAD1184</accession><cross_references/></HashMap>