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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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OME-Zarr 3D hiPSCs with 3D labels & 3D measurements, 2x2 field of views

Authors: Lüthi, Joel;

OME-Zarr 3D hiPSCs with 3D labels & 3D measurements, 2x2 field of views

Abstract

These are 2 small OME-Zarr files of the data from 10.5281/zenodo.7057076. The images have been processed using Fractal, the workflow is attached as a json file. It ran with fractal-server==2.3.6, fractal-client==2.0.1, fractal-web==1.4.0 and fractal-tasks-core==1.2.1. Both Zarr files are Zip-compressed to allow easier upload & download from Zenodo. 20200812-CardiomyocyteDifferentiation14-Cycle1.zarr contains 3 3D channels, a nuclear segmentation produced by cellpose as labels and 4 tables: A ROI table for the whole well, a ROI table for the 4 field of views, a masking ROI table for the nuclear segmentation, as well as measurements performed with napari-skimage-regionprops. 20200812-CardiomyocyteDifferentiation14-Cycle1_mip.zarr contains the same 3 channels, but as maximum intensity projections. It contains nuclear segmentation through cellpose, as well as 3 more labels generated by napari workflows (different thresholds, less accurate segmentations). It also contains 7 tables: The region of interests like in the 3D data, as well as measurements performed with napari-skimage-regionprops. The tables are stored in the OME-Zarr file according to the Fractal table specification spec in AnnData. The 3 channels are: - 0: DAPI, nuclear stain - 1: nanog, antibody staining with Bio-Techne AG, AF1997-SP, Lot KKJ0617121 for the stemness marker nanog - 2: Lamin B1, antibody staining with Abcam, ab16048, Lot GR3244890-2 for the nuclear envelope marker Lamin B1

Related Organizations
Keywords

OME-NGFF, fractal, image analysis, OME-Zarr, high content imaging, immunofluorescence

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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