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Course content
Introduction to bioimage analysis
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
Image Data Resource – Discovery using community repositories
Advanced computational topics in the context of bioimage analysis
Technical help sheet
Trainer biographies
Further learning
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Deep learning introduction

Overview: Deep Learning (DL) is a type of machine learning based on artificial neural networks in which multiple layers of processing are used to extract progressively higher level features from data. This lecture introduces some basic principles of DL and how it is used in bioimage analysis.

Learning objectives:

After this section you should be able to:

Identify how can DL be used for image analysis
Identify how DL works
Outline how the ZeroCostDL4Mic platform can be used for bioimage analysis

Materials:

Presentation (animated version)

Microscopy data analysis: machine learning and the BioImage Archive

Deep learning introduction