Logo
Sponsored by:

Presented by:

Advances in artificial intelligence in microscopy

Available On Demand

Your details:

Our registration process uses cookies, by submitting this registration form you agree to our cookie policy.

(*) denotes required form field(s)

  Register

Overview

If you've already registered, please click here to log in to the webcast

Artificial Intelligence is pushing the limits of what microscopy-based imaging can do for analysing and quantifying biological data.

This webcast will introduce participants to deep learning techniques for microscopy image analysis. Three international experts will provide a short introduction to the foundations of deep learning for image analysis and then cover various methods for image denoising and restorations, super-resolution microscopy, label-free prediction, and cell/object detection. After the presentation, 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 webcast is mainly targeted to life scientists working with microscopy image data.

You will learn:
  • Foundations of deep learning for image analysis
  • Different applications of deep learning for image analysis
  • Answers to your specific questions in a live Q&A

This webcast has been produced for Nikon by Nature Research Custom Media. The sponsor retains sole responsibility for content. About this content.

Presenters

Presenter
Christophe Zimmer, Ph.D.
Research Director
Institut Pasteur, Paris, France
View Biography
Presenter
Florian Jug, Ph.D.
Research Group Leader
Center for Systems Biology Dresden (CSBD), Max-Planck Institute of Molecular Cell Biology and Genetics, Dresden, and Fondazione Human Technopole, Milano, Italy
View Biography
Presenter
Martin Weigert, Ph.D.
Group Leader
EPFL Lausanne
View Biography
Presenter
Moderator: Sarah Hiddleston
Science Journalist
Nature Research Custom Media
View Biography