MotilA: A pipeline for microglial fine process motility analysis
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| Autores principales: | , , , , , |
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| Formato: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902073541394432 |
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| author | Musacchio, Fabrizio Crux, Sophie Nebeling, Felix Gockel, Nala Fuhrmann, Falko Fuhrmann, Martin |
| author_facet | Musacchio, Fabrizio Crux, Sophie Nebeling, Felix Gockel, Nala Fuhrmann, Falko Fuhrmann, Martin |
| contents | <p><a href="https://github.com/FabrizioMusacchio/MotilA" target="_blank" rel="noopener"><strong>MotilA</strong></a> is an open-source Python pipeline for the automated analysis of microglial fine process motility from 5D (t, z, channel, y, x) two-photon time-lapse imaging data. It supports both single-stack and batch analysis modes and integrates seamlessly for standardized data management.</p> <p>MotilA extracts motility metrics from segmented microglial stacks and includes preprocessing steps such as image registration and channel separation. A comprehensive example dataset is provided via <a href="https://zenodo.org/records/15061566">Zenodo</a>, along with <a href="https://github.com/FabrizioMusacchio/MotilA#example-data-set-and-tutorials" target="_blank" rel="noopener">tutorial notebooks and scripts</a> to guide new users through the analysis workflow.</p> <p><strong>Citation notice:</strong></p> <p>A peer-reviewed publication describing the MotilA pipeline in detail is currently in preparation. Until the paper is published and a DOI becomes available, please cite this Zenodo record as a reference for the software. Once the publication is available, we kindly ask users to cite the article DOI instead.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15175054 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MotilA: A pipeline for microglial fine process motility analysis Musacchio, Fabrizio Crux, Sophie Nebeling, Felix Gockel, Nala Fuhrmann, Falko Fuhrmann, Martin image analysis microglia motility two-photon imaging neuroscience Python Python pipeline image segmentation image processing image registration image analysis pipeline <p><a href="https://github.com/FabrizioMusacchio/MotilA" target="_blank" rel="noopener"><strong>MotilA</strong></a> is an open-source Python pipeline for the automated analysis of microglial fine process motility from 5D (t, z, channel, y, x) two-photon time-lapse imaging data. It supports both single-stack and batch analysis modes and integrates seamlessly for standardized data management.</p> <p>MotilA extracts motility metrics from segmented microglial stacks and includes preprocessing steps such as image registration and channel separation. A comprehensive example dataset is provided via <a href="https://zenodo.org/records/15061566">Zenodo</a>, along with <a href="https://github.com/FabrizioMusacchio/MotilA#example-data-set-and-tutorials" target="_blank" rel="noopener">tutorial notebooks and scripts</a> to guide new users through the analysis workflow.</p> <p><strong>Citation notice:</strong></p> <p>A peer-reviewed publication describing the MotilA pipeline in detail is currently in preparation. Until the paper is published and a DOI becomes available, please cite this Zenodo record as a reference for the software. Once the publication is available, we kindly ask users to cite the article DOI instead.</p> |
| title | MotilA: A pipeline for microglial fine process motility analysis |
| topic | image analysis microglia motility two-photon imaging neuroscience Python Python pipeline image segmentation image processing image registration image analysis pipeline |
| url | https://doi.org/10.5281/zenodo.15175054 |