Coronavirus information for participants
The onsite course and conference programme at EMBL has been paused until the end of June 2020.
We aim to continue offering our advanced training for the scientific community however we safely can. While some events have been cancelled, many have been rescheduled for a later date and others will be delivered as virtual events.
Registration is open for onsite courses and conferences starting after 1 July and for the virtual events. All registration fees for any events which don’t take place due to the COVID-19 disruption are fully refundable.
More information for participants of events at EMBL Heidelberg can be found here.
Discovery in the life-sciences increasingly relies on quantitative analysis of microscopy images. The EMBL Conference: From Images to Knowledge with ImageJ & Friends (I2K) will bring together the developers and users of state-of-the-art open source solutions for biological image analysis. It will be a forum for discussing forward looking strategies for dealing with the ever increasing flood of large and content rich microscopy imagery.
The conference is designed to promote interactive discussions between users and developers of bioimage analysis methods and software. The speaker line-up features researchers at the front-lines of algorithm development and their application to extraordinarily large and complex image datasets. Additionally, all major open source platforms that implement bioimage analysis tools will be represented by their respective lead developers. Poster sessions, tutorials, and workshops will give all participants a unique networking opportunity.
- Bioimage analysis workflows
- Computer vision and machine learning
- Handling of big image data
- Image data annotation and sharing
- Image data visualisation
- Image restoration, registration, segmentation, and tracking
- Smart microscopy
- Open software engineering
Who should attend?
I2K is for researchers who are (i) generating or analysing large and complex image data, (ii) creating tools and methods to solve image analysis problems, and (iii) software engineers who provide and maintain the necessary infrastructure.