Abstract
A Python toolkit for automatically extracting metadata from experiment logs and text files, processing images and uploading these payloads to OMERO servers to create fully annotated, multidimensional datasets. The toolkit comes packaged in portable, platform-independent Docker images that enable users to deploy and run the utilities easily, regardless of Operating System constraints. A selection of use cases is provided, illustrating the primary capabilities and flexibility offered with the toolkit, along with a discussion of limitations and potential future extensions. PyOmeroUpload is available from: https://github.com/SynthSys/pyOmeroUpload.
Data Citation
Hay J, Troup E, Clark I et al. PyOmeroUpload: A Python toolkit for uploading images and metadata to OMERO. PyOmeroUpload is available from: https://github.com/SynthSys/pyOmeroUpload. Archived source code at time of publication: https://doi.org/10.5281/zenodo.374648640.
| Date made available | 9 Apr 2020 |
|---|---|
| Publisher | Zenodo |
Research output
- 1 Article
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PyOmeroUpload: A Python toolkit for uploading images and metadata to OMERO
Hay, J., Troup, E., Clark, I., Pietsch, J., Zielinski, T. & Millar, A. J., 18 May 2020, In: Wellcome Open Research .Research output: Contribution to journal › Article › peer-review
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