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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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data from RNA2seg benchmark

Authors: Defard, Thomas;

data from RNA2seg benchmark

Abstract

# Segmentation_shape_vhfi The folder segmentation_shape_vhfi contains the segmentation shapes used in the RNA2seg paper with the dataset fromhttps://vizgen.com/data-release-program/ at MERSCOPE FFPE Human Immuno-Oncology Data Release -- Cellbound1, Cellbound3 and DAPI are the segmentations done by cellpose of the corresponding staining -- VHFI is the cell segmentation provided by vizgen -- annotation is the annotation done for RNA2seg paper --RNA2seg is the segmentation done by RNA2seg each segmentation can be loaded with : each segmentation can be load with : ``` import geopandas as gpd gdf = gpd.read_file(path2save_shape_organ / "shape.shp")``` Staining and transcripts are available at https://vizgen.com/data-release-program/ at MERSCOPE FFPE Human Immuno-Oncology Data Release # Segmentation_shape_cosmx The folder segmentation_shape_cosmx contains the segmentation shapes used in the RNA2seg paperwith the dataset from this study : He, S., Bhatt, R., Brown, C. et al.High-plex imaging of RNA and proteins at subcellular resolution in fixed tissue by spatial molecular imaging.Nat Biotechnol 40, 1794–1806 (2022). https://doi.org/10.1038/s41587-022-01483-z -- CD3, CD45, DAPI and Membrane are the segmentations done by cellpose of the corresponding staining -- cosmx_output is the cell segmentation provided by vizgen --RNA2seg is the segmentation done by RNA2seg each segmentation can be loaded with : ``` import geopandas as gpd gdf = gpd.read_file(path2save_shape_organ / "shape.shp")``` Staining and transcripts were provided by the authors of the study # mouse_ileum The folder mouse_ileum contains the segmentation shapes used in the RNA2seg paper with the dataset from :Petukhov, V., Xu, R.J., Soldatov, R.A. et al.Cell segmentation in imaging-based spatial transcriptomics.Nat Biotechnol 40, 345–354 (2022). https://doi.org/10.1038/s41587-021-01044-w -- cellpose is the segmentation done with cellpose by the original authors of the study -- annotation is the annotation done for RNA2seg paper # benchmark_staining_methodThe folder benchmark_staining_method contains the benchmarking results forsegmentation from merscope (VHFI) and cellpose. # benchmark_point_cloud_method The folder point_cloud_method contains the script and the benchmarking resultson our manual annotation for ComSeg and Baysor # CNN_trained_model model RNA2seg-cnn used for the benchmarck contact : alice.blondel@minesparis.psl.eu, thomas.defard@minesparis.psl.eu

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average