The 2021 Microscopy data analysis course, organised in association with Wellcome and EOSC-life, provided training to develop programmatic skills for the analysis of bioimage data.

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Using these materials

These course materials provide a mixture of pre-recorded lectures, presentations and practicals to help advance your skills in the analysis of microscopy image data. You may select your topic of interest from the Course content page to view the relevant materials or work your way through all the course materials. 

To find out more about the trainers who created these materials, follow the links from the Course content page or go directly to the Trainer biographies page. You can also find the software requirements for the practicals in the Technical help sheet.

In the Further learning section you may explore the details about the EMBL-EBI’s free access online tutorials and webinars on a variety of life sciences topics.

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Course learning outcomes

After this course you should be able to:

• Interact programmatically with the BioImage Archive and other data resources
• Apply pre-built machine learning models to image data
• Train and retrain machine learning models on image data
• Utilise machine learning approaches for object detection, image segmentation and de-noising
• Generate quantitative conclusions from images

Material collection editors

• Pati Carvajal Lopez, EMBL-EBI
• Alex Holinski, EMBL-EBI
• Craig Russell, EMBL-EBI
• Virginie Uhlmann, EMBL-EBI
• Alvis Brazma, EMBL-EBI
• Jason Swedlow, University of Dundee

DOI: 10.6019/TOL.MicroscopyImageMaterials-t.2022.00001.1