Bio-image analysis experts from the DFG Cluster of Excellence Physics of Life at TU Dresden, the Institut Pasteur in Paris, and the Francis Crick Institute in London have been awarded an ‘Essential Open Source Software for Science’ grant by the Chan Zuckerberg Initiative (CZI) for leveraging GPU accelerated image analysis. The researchers plan to develop and distribute knowledge about this rising technology so that scientists worldwide profit from it. The aim is to enable end-users to process large-scale biological image data.
Biological image data science is on the rise due to a constant influx of staggering amounts of new images from microscopes produced by e.g. scientists aiming at understanding the physics of life. The multinational team from the Institut Pasteur in Paris, the Francis Crick Institute in London and PoL scientists in Dresden will develop solutions for distributed, accelerated image analysis that is accessible to end-users without programming experience.
In the coming two years, the three partners will work closely together. To foster interaction with the life-sciences community, the team will plan NEUBIAS-style symposia, training schools, and hackathons hosted by the Cluster of Excellence Physics of Life at TU Dresden, the Institut Pasteur in Paris, and the Francis Crick Institute in London to exchange knowledge, ideas and experience. The software will be available open source and the teaching materials will be shared with the community open access.
Further Reading
- Chan Zuckerberg Initiative (31.08.21): CZI Awards $16 Million for Foundational Open Source Software Tools Essential to Biomedicine
