OMERO workshop, 7-8 November 23, CRG Barcelona, Spain
The Open Microscopy Environment (OME) is an open-source software project that develops tools to enable access, analysis, visualization, sharing and publishing microscopy data. OMERO, a component of OME, is a client-server software, designed to efficiently manage, visualize and analyze microscopy images and associated metadata.
The workshop includes presentations from OME developers and experts in the field as well as open question sessions and multiple hands-on sessions. On Day 1, the OME Team will demonstrate how to manage, analyze and publish your data with OMERO. A hands-on practical experience using OMERO with datasets from a wide range of imaging modalities, including EM, time-lapse, confocal and super-resolution microscopy will be given. Day 2 will cover data analysis with OMERO using third party tools such as FIJI/ImageJ, CellProfiler and potentially napari and ilastik (hand-outs with workflows including Python and R usage with OMERO will be available).
Please note that the workshop is a hybrid event, allowing both on-site and online participation. On-site availability is limited to 18 places, while online participation is limited to 20 participants. Selections for participation will be based on the responses provided during registration. Successfully registered participants will receive additional course details during the first week of October. Any required workshop materials will be shared in advance.
If you would like to learn more about OME visit www.openmicroscopy.org for more info.
By the conclusion of this course, participants will have gained a comprehensive understanding of the following key topics:
- FAIR data and ethics in bioimaging
- Introduction to OMERO: core concepts, data management, metadata, search, Image Data Resource (IDR)
- Working with metadata, File Annotations, Tagging, Key-Value pairs
- Image analysis w/ OMERO: interfacing with Fiji/ImageJ
- Advanced Image analysis w/ OMERO: interfacing with CellProfiler, napari, R, Python, and, possibly, ilastik.
- Cloud-based image analysis with Next Generation File Formats (NGFF)
- Nadia Halidi, CRG
- CRG Training
Speakers & Instructors
- Jean-Marie Burel, University of Dundee
- Petr Walczysko, University of Dundee
- Emyr James, CRG
- Nadia Halidi, CRG
For additional information please check the course pages.
Application deadline 2 October 2023