Develop programmatic skills for the analysis of bioimage data.

This course will introduce programmatic approaches used in the analysis of bioimage data via the BioImage Archive. The content will explore a variety of data types including electron microscopy, cell and tissue microscopy, and miscellaneous or multi-modal imaging data. Participants will cover contemporary biological image analysis with an emphasis on machine learning and advanced image analysis. Further instruction will be offered using applications such as ZeroCostDL4Mic, ilastik, the BioImage Model Zoo, and CellProfiler.

The organisers welcome applications from scientists who have specific research questions that look to use publicly available data held in the BioImage Archive and can demonstrate use cases for the resource.

Virtual course

Participants will learn via a mix of pre-recorded lectures, live presentations, and trainer Q&A sessions. Practical experience will be developed through group activities and trainer-led computational exercises. Live sessions will be delivered using Zoom with additional support and asynchronous communication via Slack. 

Pre-recorded material may be provided before the course starts that participants will need to watch, read or work through to gain the most out of the actual training event. In the week before the course, there will be a brief induction session. Computational practicals will run on EMBL-EBI's virtual training infrastructure, meaning participants will not require access to a powerful computer or install complex software on their own machines.

Participants will need to be available between the hours of 09:30-17:30 BST each day of the course. Trainers will be available to assist, answer questions, and provide further explanations during these times.