Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes

Max Hahn; Christoffer Nord; Pim P. van Krieken; Per-Olof Berggren; Erwin Ilegems; Abbas Cheddad; Ulf Ahlgren

doi:10.1038/s41597-022-01546-5

Scientific Data (Sep 2022)

Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes

Max Hahn,
Christoffer Nord,
Pim P. van Krieken,
Per-Olof Berggren,
Erwin Ilegems,
Abbas Cheddad,
Ulf Ahlgren

Affiliations

Max Hahn: Umeå Centre for Molecular Medicine, Umeå University
Christoffer Nord: Umeå Centre for Molecular Medicine, Umeå University
Pim P. van Krieken: The Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet
Per-Olof Berggren: The Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet
Erwin Ilegems: The Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet
Abbas Cheddad: Dept. of Computer Science, Blekinge inst. of technology
Ulf Ahlgren: Umeå Centre for Molecular Medicine, Umeå University

DOI: https://doi.org/10.1038/s41597-022-01546-5
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 8

Abstract

Read online

Measurement(s) Fluorescent antibody staining of Insulin and GLUT2 in whole mouse pancreata Technology Type(s) Optical Projection Tomography • Light Sheet Fluorescence Microscopy (Ultramicroscope) Factor Type(s) mouse genotype • Streptozotocin dosage Sample Characteristic - Organism Mus musculus

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal