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MorphoNet 2.0: An innovative approach for qualitative assessment and segmentation curation of large-scale 3D time-lapse imaging datasets

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Figshare2025-11-06 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_b_MorphoNet_2_0_An_innovative_approach_for_qualitative_assessment_and_segmentation_curation_of_large-scale_3D_time-lapse_imaging_datasets_b_/30529745
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The MorphoNet_Data repository provides all datasets and resources associated with the MorphoNet 2.0 publication. It serves as an open archive supporting the reproducibility and reuse of the study’s results.The repository includes:VIDEOS — Demonstration videos illustrating the use cases of each dataset.DATASETS — Original and curated imaging datasets used in MorphoNet 2.0.MODELS — Pre-trained Cellpose models specifically used for segmentation curation in each dataset.BENCHMARKING_DATASETS — Reference datasets employed for performance evaluation, as detailed in the benchmark documentation and supplementary materials.STANDALONE — stable version (2.2.6-df07ae9) of MorphoNet 2.0 for each operating system Reference: Gallean B., Laurent T., Biasuz K., Clément A., Faraj N., Lemaire P., Faure E. (2025). MorphoNet 2.0: An innovative approach for qualitative assessment and segmentation curation of large-scale 3D time-lapse imaging datasets. eLife, 14: RP106227. https://doi.org/10.7554/eLife.106227.2
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2025-11-06
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