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posts/feed_bot/galaxy_europe/2024-11-08-galaxy-imaging-fair-pipelines-group2.md
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📝 New blog post Released! | ||
https://galaxyproject.org/news/2024-11-08-galaxy-imaging-fair-pipelines/ | ||
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The Helmholtz Metadata Conference (HMC) 2024 | ||
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The Helmholtz Metadata Collaboration (HMC) focuses on enhancing research | ||
data quality through metadata, implementing this approach throughout the | ||
entire organisation. Its primary goal is to make the extensive research | ||
data produced by Helmholtz Centres findable, accessible, interoperable, | ||
and reusable (FAIR) for the scientific community. This year’s Helmholtz | ||
Metadata Conference (HMC) was held virtually in Gather Town from November | ||
4th to 6th. The event targeted scientists, data professionals, software developers, | ||
and anyone engaged with metadata. Sessions covered a range of topics, | ||
including metadata management, ontologies, metadata schemas and formats, | ||
semantics, standardisation, and workflows. | ||
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![HMC_logo.png](https://galaxyproject.org/news/2024-11-08-galaxy-imaging-fair-pipelines/HMC_logo.png) | ||
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Building FAIR Bioimage Pipelines with Galaxy | ||
-------------------------------------------- | ||
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In the “workflow” session, I presented the application of Galaxy to develop | ||
FAIR analysis pipelines for metadata annotation and image management in | ||
high\-content screening (HCS) bioimaging. In fact, Galaxy workflows enhance | ||
data FAIRness by allowing annotation, collaboration, and public sharing. | ||
Additionally, Galaxy tools are transparent, meaning they can be easily | ||
inspected within the Galaxy Tool Shed, providing a clear view of their | ||
structure. | ||
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![pipeline_ip.png](https://galaxyproject.org/news/2024-11-08-galaxy-imaging-fair-pipelines/pipeline_ip.png) | ||
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Integrating OMERO and Galaxy | ||
---------------------------- | ||
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During the conference, I discussed integrating OMERO’s upload and image | ||
annotation features with Galaxy’s image analysis workflows. | ||
This integration enables images to be automatically enriched with metadata | ||
(e.g., key\-value pairs, tags, raw data, regions of interest) and uploaded | ||
to a user\-defined OMERO server using a new OMERO tool suite developed in | ||
Galaxy. Currently, the suite offers tools for image and ROI uploads, | ||
metadata enrichment, and data filtering or retrieval, making it simple | ||
to transfer data and metadata to an OMERO instance. | ||
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![img.png](https://galaxyproject.org/news/2024-11-08-galaxy-imaging-fair-pipelines/omero_pipeline.png) | ||
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Combining Image Processing and Data Management in One Workflow | ||
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Image processing can be added to OMERO workflows. Users can retrieve | ||
images from a local server and perform image analyses, such as annotation, | ||
segmentation, or background subtraction. Galaxy is a powerful tool for | ||
image analysis, integrating popular software like CellProfiler and connecting | ||
with cloud services like OMERO and the IDR. This integration allows for | ||
efficient access to and management of image data, which is invaluable in | ||
bioimaging. Automated pipelines streamline the handling of complex metadata, | ||
ensuring data integrity and fostering interdisciplinary collaboration. | ||
This approach not only boosts the efficiency of HCS bioimaging but | ||
also aligns with the scientific community’s FAIR principles, driving | ||
scientific discovery and innovation forward. | ||
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The presentation was shared on [Zenodo](https://zenodo.org/records/14044640) |