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Microscopy data analysis: machine learning and the BioImage Archive

  • Overview
  • Search
  • Course content
  • Introduction to bioimage analysis
    • Introduction to image analysis
    • Deep learning introduction
    • Segmentation with StarDist and SplineDist
  • Bioimaging data resources at EMBL-EBI
    • BioImaging data resources at EMBL-EBI – an overview of the BioImage Archive, BioStudies and EMPIAR
    • BioImaging data resources at EMBL-EBI – practical
  • Open access machine learning resources for bioimage analysis
    • ZeroCost – Practical
    • BioImage Model Zoo – lecture
    • BioImage Model Zoo – practical (DL4MicEverywhere)
    • Ilastik – practical
    • Cellpose – practical
    • CellProfiler
      • CellProfiler – lecture
      • CellProfiler – practical
  • Image Data Resource – Discovery using community repositories
    • Image data resource – introduction
    • Image data resource – Data submission and curation
    • Image data resource – Practical
  • Advanced computational topics in the context of bioimage analysis
    • pyTorch introduction
    • Advanced topics (Terminal, Snakemake, pyTorch)
    • Distributed/Cloud computing
  • Technical help sheet
  • Trainer biographies
  • Further learning
    • The Electron Microscopy Public Image Archive – EMPIAR
      • Introduction to EMPIAR
      • MitoNet and EBI/EMPIAR
      • Using vEM data with napari and EMPANADA – practical
    • Terminal, Snakemake, pyTorch – Practical
    • deepImageJ
    • ImJoy
  • Your feedback

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BioImaging data resources at EMBL-EBI – practical

Trainer: EMBL-EBI Teams, Matthew Hartley, Aybuke Kupcu Yoldas

Overview: 

This section covers practicals on different EMBL-EBI resources used in bioimage data analysis.

Learning outcomes:

After this section you should be able to:

  • Identify the place of different EMBL-EBI bioimage resources in the scientific data ecosystem

Materials:

  • Presentation
  • BioImage Archive: https://www.ebi.ac.uk/bioimage-archive/
  • BioImage Archive – Quick tour
  • BioImage Archive API repository
  • Simple example use bia explorer notebook
  • List of ome-ngff tools
  • Vizarr: https://hms-dbmi.github.io/vizarr, https://hms-dbmi.github.io/vizarr/?source=
  • Working with public image data as OME-Zarr notebook

  • page navigation-left-circle-1_1 BioImaging data resources at EMBL-EBI – an overview of the BioImage Archive, BioStudies and EMPIAR
  • pageOpen access machine learning resources for bioimage analysis navigation-right-circle-1_1