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

<p dir="ltr">The MorphoNet_Data repository provides all datasets and resources associated with the <b>MorphoNet 2.0</b> publication. It serves as an open archive supporting the reproducibility and reuse of the study’s results.</p><p dir="ltr">The repository includes:</p><p dir="ltr"><b>VIDEOS</b> — Demonstration videos illustrating the use cases of each dataset.</p><p dir="ltr"><b>DATASETS</b> — Original and curated imaging datasets used in MorphoNet 2.0.</p><p dir="ltr"><b>MODELS</b> — Pre-trained Cellpose models specifically used for segmentation curation in each dataset.</p><p dir="ltr"><b>BENCHMARKING_DATASETS </b>— Reference datasets employed for performance evaluation, as detailed in the benchmark documentation and supplementary materials.</p><p dir="ltr"><b>STANDALONE</b> — stable version (2.2.6-df07ae9) of MorphoNet 2.0 for each operating system </p><p dir="ltr"><br></p><p><br></p><p><br></p><p dir="ltr"><b>Reference</b>: 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</p>