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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