Published January 27, 2022 | Version v6

Test datasets for segmentation (2D, 3D, timelapses)

Authors/Creators

  • 1. Kapoorlabs

Description

Datasets for testing: 1) Arabidopsis in 3D with membrane labelling for testing Unet, Stardist and denoising models.

                                 2) Ascadian embryo in 3D imaged via light sheet for testing Unet and Stardist models. 

                                 3) Carcinoma cells 3D + time data imaged under low SNR conditions for testing Unet, Stardist and Denoising models.

                                 4) Tissue in 2D + time for testing Unet models. Data imaged by Mari Tolonen at the University of Copenhagen.

                                 5) Nuclei in 3D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen. 

                                 6) Nuclei cell mask 2D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen   

Notes

Computational support provided by Jean Zay dynamic access grant: AD011013396 Monetary Support by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.

Files

Ascadian_data_GT_model.zip

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