Dataset: CODEX highly multiplexed tissue imaging in pancreas ...
Human pancreas This dataset was acquired using CODEX, multiplexed single-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 c...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7742473 https://zenodo.org/record/7742473 |
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ftdatacite:10.5281/zenodo.7742473 2023-05-15T17:53:46+02:00 Dataset: CODEX highly multiplexed tissue imaging in pancreas ... Björklund, Frida Martinez Casals, Anna Patrick E., MacDonald Lundberg, Emma 2023 https://dx.doi.org/10.5281/zenodo.7742473 https://zenodo.org/record/7742473 en eng Zenodo https://dx.doi.org/10.5281/zenodo.7742474 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Highly multiplexed spatial profiling CODEX FFPE pancreas dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.774247310.5281/zenodo.7742474 2023-04-03T14:24:06Z Human pancreas This dataset was acquired using CODEX, multiplexed single-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 human pancreas tissue. This dataset 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). ... Dataset Orca DataCite Metadata Store (German National Library of Science and Technology) Sola ENVELOPE(9.806,9.806,63.198,63.198) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
Highly multiplexed spatial profiling CODEX FFPE pancreas |
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Highly multiplexed spatial profiling CODEX FFPE pancreas Björklund, Frida Martinez Casals, Anna Patrick E., MacDonald Lundberg, Emma Dataset: CODEX highly multiplexed tissue imaging in pancreas ... |
topic_facet |
Highly multiplexed spatial profiling CODEX FFPE pancreas |
description |
Human pancreas This dataset was acquired using CODEX, multiplexed single-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 human pancreas tissue. This dataset 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). ... |
format |
Dataset |
author |
Björklund, Frida Martinez Casals, Anna Patrick E., MacDonald Lundberg, Emma |
author_facet |
Björklund, Frida Martinez Casals, Anna Patrick E., MacDonald Lundberg, Emma |
author_sort |
Björklund, Frida |
title |
Dataset: CODEX highly multiplexed tissue imaging in pancreas ... |
title_short |
Dataset: CODEX highly multiplexed tissue imaging in pancreas ... |
title_full |
Dataset: CODEX highly multiplexed tissue imaging in pancreas ... |
title_fullStr |
Dataset: CODEX highly multiplexed tissue imaging in pancreas ... |
title_full_unstemmed |
Dataset: CODEX highly multiplexed tissue imaging in pancreas ... |
title_sort |
dataset: codex highly multiplexed tissue imaging in pancreas ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7742473 https://zenodo.org/record/7742473 |
long_lat |
ENVELOPE(9.806,9.806,63.198,63.198) |
geographic |
Sola |
geographic_facet |
Sola |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://dx.doi.org/10.5281/zenodo.7742474 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.774247310.5281/zenodo.7742474 |
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1766161479951712256 |