Programme

Welcome & introduction of the Course

Students’ self-introduction

Lecture 1: Introduction to deep learning

• Christophe Zimmer Institut Pasteur, France
  

Tutorial

Introduction of Fiji

Lecture 2: Deep Learning in Systems Biology: High Content Screening

• Musa Mhlanga
  

Lecture 3: Content-Aware Image Restoration for Light and Electron Microscopy Facilitates Quantitative Data Analysis

• Florian Jug Max Planck Institute of Molecular Cell Biology and Genetics
  

Practical session

Lecture 4: Towards a mechanistic understanding of cellular processes by cryo-EM

• Gaia Pigino Max Planck Institute of Molecular Cell Biology and Genetics, Germany
  

Lecture 5: A new force awakens: comparative approach to tissue morphogenesis in insects

• Pavel Tomancak Max Planck Institute of Molecular Cell Biology and Genetics
  

Practical session

Lecture 6: Multi-scale analysis of cell and tissue organization

• Marino Zerial Max Planck Institute of Molecular Cell Biology and Genetics
  

Lecture 7: Image restoration and segmentation with machine learning

• Martin Weigert Max Planck Institute of Molecular Cell Biology and Genetics
  

Practical session

Lecture 8: DataViz with 3DScript in Fiji

• Florian Jug Max Planck Institute of Molecular Cell Biology and Genetics
  

Lecture 9: Deep learning for massive imaging in microscopy and pathology, deep learning for the masses

• Christophe Zimmer Institut Pasteur, France
  

Lecture 10: Open source analytics for super-resolution microscopy

• Sian Culley University College London
  

  MRC Laboratory for Molecular Cell Biology, University College London, UK

  
  

Practical session

Data analysis

Data analysis

Presentation of the results of the practical workshops and general discussion