From Images to Knowledge with ImageJ & Friends (Virtual)
Discovery in the life-sciences increasingly relies on quantitative analysis of microscopy images. In a virtual format, I2K 2020 will again bring together 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. Online poster sessions, tutorials, breakout workshops and social gatherings will give all participants a unique networking opportunity.
Topics will include:
- 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
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.
Stephan Preibisch, Janelia Research Campus/HHMI
Stephan Saalfeld, Janelia Research Campus/HHMI
Anna Kreshuk, European Molecular Biology Laboratory
Pavel Tomancak, Max Planck Institute of Molecular Cell Biology and Genetics
Virginie Uhlmann, European Molecular Biology Laboratory
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