Dataset: CODEX highly multiplexed tissue imaging in pancreas

• Main Authors: Björklund, Frida, Martinez Casals, Anna, Patrick E., MacDonald, Lundberg, Emma
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2023
• Subjects: Highly multiplexed spatial profiling; CODEX; FFPE; pancreas; Orca
• Online Access: https://doi.org/10.5281/zenodo.7742474

Human pancreas This datasetwas acquired usingCODEX, multiplexedsingle-cell imaging technology for spatial profiling, where all image data is in .tif format and it includes an associated imaging metadata .csv file. The combination of the targets present in this experiment define some of the main cell types and anatomical structures in humanpancreas tissue. Thisdataset is a 12-highly multiplexed experiment performed on a human pancreas 5 μm section including the nuclear marker Hoechst and antibodies conjugated with oligo-sequences directed against the individual markers. Images were acquired using a Leica DMi8 widefield microscope, a digital CMOS camera (Hamamatsu, ORCA-Flash4.0 V3), and a 20x (0.75) NA dry objective. The light source was a SOLA-SM-II. All images were captured at a 16-bit depth with the following dimensions: x (0.325 μm), y (0.325 μm), and z (1.5 μm). In addition, images were processed, tiled and merged using the CODEX® Processor application (CODEX Processor 1.7.0.6).