Published July 26, 2025
| Version v2
Dataset
Open
Datasets and models for "A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens"
Authors/Creators
-
1.
Imperial College London
- 2. MRC Laboratory of Medical Sciences
-
3.
University of Zurich
- 4. EMBL-EBI
Description
Training and testing data for several models used to track and estimate the pose for multiple overlapping worms in video data.
See this paper for details:
Weheliye H Weheliye, Javier Rodriguez, Luigi Feriani, Avelino Javer, Virginie Uhlmann, André EX Brown (2025) A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens
PLOS Computational Biology 21:e1013345
https://doi.org/10.1371/journal.pcbi.1013345
Files
Annotated_images.zip
Files
(38.9 GB)
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md5:f2327ef9d50cf6070cf7368393ba5429
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1.6 GB | Preview Download |
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md5:4251775e6a527ed611d91f7c66a88829
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12.6 GB | Preview Download |
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md5:69a91c1df1344a52ee3711f833a60cea
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71.8 kB | Preview Download |
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md5:72124acb23b3f0c0a1d947fecf64c8b1
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24.0 GB | Preview Download |
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md5:47df35abac78c9f08676627e8ce2bd5f
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25.2 MB | Preview Download |
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md5:4b92d3ad4ee7c25c0074866c24667aea
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629.3 MB | Preview Download |
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md5:37e497a195682c2e9cc163197a244049
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3.5 kB | Preview Download |