EMBL Courses and Conferences during the Coronavirus pandemic
With the onsite programme paused, many of our events are now being offered in virtual formats.
Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.
More information for participants of events at EMBL Heidelberg can be found here.
EMBL is committed to sharing research advances and sustaining scientific interaction throughout the coronavirus pandemic. We are delighted to announce that the course is going virtual and invite you to join us online.
This is a blended learning course on Deep Learning for Image Analysis, consisting of pre-course online sessions in December 2020 and/or January 2021
with associated hands-on exercises and a week-long virtual course in February 2021.
This course is aimed at both core facility staff and research scientists.
Prerequisites for this workshop are programming skills in Python and ideally Tensorflow, Keras or Pytorch as well as basic knowledge of machine learning theory.
Participants should provide an outline of one image analysis task they would like to work on during the course. Neural networks have been successfully applied to various medical and biological imaging modalities including PALM/STORM, light sheet fluorescence microscopy, high-throughput microscopy, electron microscopy, X-ray tomography. However, they require observation-outcome-pairs for training. Ideally, you will be provided annotated images for network training during the course.
After this course you should be able to:
- Understand the fundamentals of machine learning methods suitable for image analysis
- Advise users/colleagues in strategies to obtain ground truth
- Train and use a CNN for a bioimage analysis task studied in the course
- Perform simple quality control on the results