Intervention of AI and machine learning for optical imaging

Available on demand


Improvements in the technologies associated with optical imaging have meant that there is an increasing amount of better quality, finer resolution data made available for research and diagnosis. The increase in the total volume of data makes it more time consuming for the experts to view all the images from a scan, so training an artificial intelligence system to be able to quickly view images and flag potential abnormalities for review by an expert is of great value.

In this webinar we hear from Anna Kreshuk (European Molecular Biology Laboratory) and Ricardo Henriques (Instituto Gulbenkian de Ciência) who will present on super-resolution microscopy, and how AI and machine learning can assist in developing our understanding of nanoscale biological processes, including viral infection.

Presenter
Anna Kreshuk
Group Leader
Cell Biology and Biophysics Unit
View Biography
Presenter
Ricardo Henriques
Group Leader of the Optical Cell Biology Laboratory, Instituto Gulbenkian de Ciência;
Honorary Chair of Computational and Optical Biophysics University College London
View Biography
Presenter
Moderator: Sarah Callaghan
Patterns, Editor-in-Chief

Presenter
Moderator:Rituparna Chakrabarti
Scientific Editor, iScience

Registration Details:

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

(*) denotes required form field(s)

Submit