Published August 11, 2023
| Version v2
Dataset
Open
Parhyale 3D segmentation dataset
- 1. Institut de Génomique Fonctionnelle de Lyon / CNRS
Contributors
Data collector:
Research group:
Researcher:
- 1. Institut de Génomique Fonctionnelle de Lyon / CNRS
Description
The Parhyale 3D Segmentation dataset consists of 50 timepoints (TP01-TP50) of 3D images (512x512x34), where the manual annotations can be found at discrete 6 timepoints (at TP01, TP11, TP21, TP31, TP41 and TP50).
For further details, see README file.
This version fixes the duplicated label IDs found in the previous version of label files. This version ensures that each instance has a unique ID. Thanks to Jackson Borchardt for reporting that error.
Notes
Research was funded by the Agence Nationale de la Recherche (image data collection, grant ANR-12-CHEX-0001-01) and by the European Research Council (image analysis, grant ERC-2015-AdG #694918).
Files
Parhyale_H2B-EGFP_images_tp01-50.tif
Files
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Additional details
References
- Alwes, Enjolras & Averof (2016) Live imaging reveals the progenitors and cell dynamics of limb regeneration. eLife 5: e19766. doi:10.7554/eLife.19766
- Weigert, Schmidt, Haase, Sugawara and Myers (2020) Star-convex polyhedra for 3D object detection and segmentation in microscopy. Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 3655-3662. doi:10.1109/WACV45572.2020.9093435