Advances in Artificial Intelligence in Microscopy


  • Florian Jug, Ph.D

    Research Group Leader, Center for Systems Biology Dresden, Max-Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Fondazione Human Technopole, Milano, Italy

  • Martin Weigert, Ph.D

    Group Leader, EPFL Lausanne, Switzerland

  • Christophe Zimmer, Ph.D

    Research Director, Institut Pasteur, Paris, France

The goal of this webinar is to introduce the audience to deep learning techniques for microscopy image analysis. We will give a short introduction to the foundations of deep learning for image analysis and then cover various methods for image denoising and restorations, for super-resolution microscopy, label-free prediction, and cell/object detection. After the webinar, all speakers will be available for an extensive Q&A, giving the audience the chance to ask technical as well as application specific questions. This webinar is mainly targeted to life-scientists working with microscopy image data.

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