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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15319228 |
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| _version_ | 1866902095384281088 |
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| author | Duno-Miranda, Sebastian Warshaw, David Nelson, Shane |
| author_facet | Duno-Miranda, Sebastian Warshaw, David Nelson, Shane |
| contents | <p>ATLAS is a machine learning-enhanced routine designed to detect, segment and track actin filaments in the context of the In Vitro Motility Assay. </p> <p>SAMY is a simulated In Vitro Motility Assay (IVMA) dataset.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15319228 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Automated Tracking of Learned Actin Structures (ATLAS) Duno-Miranda, Sebastian Warshaw, David Nelson, Shane <p>ATLAS is a machine learning-enhanced routine designed to detect, segment and track actin filaments in the context of the In Vitro Motility Assay. </p> <p>SAMY is a simulated In Vitro Motility Assay (IVMA) dataset.</p> |
| title | Automated Tracking of Learned Actin Structures (ATLAS) |
| url | https://doi.org/10.5281/zenodo.15319228 |