DELiVR supporting files (training weights, additional components for inference docker container)
<p>Initial Release of the supporting data for the DELiVR cleared-brain analysis pipeline, as described in our 2024 publication: </p> <p>Virtual reality-empowered deep-learning analysis of brain cells</p> <p>Kaltenecker, Al-Maskari, Negwer, et al., Nature Methods 2024</p> <p>https://doi.org/10.1038/s41592-024-02245-2</p> <p>This repository contains the following datasets:</p> <ul> <li>Training weights for microglia inference</li> <li>Training weights for c-fos inference (as used in the paper)</li> <li>The copy of Terastitcher that we used to build the inference container </li> <li>The copy of mBrainAligner that we used to build the inference container</li> <li>The Dockerfile that we used to build the inference container </li> <li>The Ilastik version that we used to build the inference container </li> </ul> <p>Source code for TeraStitcher: https://github.com/abria/TeraStitcher</p> <p>Source code for mBrainaligner: https://github.com/Vaa3D/vaa3d_tools/tree/master/hackathon/mBrainAligner </p> <p>Download for this specific version of the Ilastik binaries: https://files.ilastik.org/ilastik-1.4.0b8-Linux.tar.bz2</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0