Members of the Jug Group, Florian Jug, Joran Deschamps and Christopher Schmied, have been awarded two $20.000 grants for the creation of napari plugins. The grants are awarded by the Chan Zuckerberg Initiative (CZI) as part of a wider effort to advance technologies and expand global access to bioimaging.
napari is a community-built software used to view and analyse large multi-dimensional images. The tool enables Python practitioners, biologists, and other scientists to leverage Python’s scientific resources without the need for prior coding experience. The plugins proposed by the Jug Group will give users wide access to user-friendly cutting-edge methods for denoising and segmentation of images.
The two proposals are in line with the wider aim of the Jug Group to push the boundaries of what image analysis and Machine Learning can do for quantifying biological (image) data, by developing advanced, cutting-edge methods and sharing them with the wider research community.
To this end, and in line with Human Technopole’s mission to train the next generation of leading scientists, the Jug Group also regularly organises workshops to familiarise researchers working in life sciences with state-of-the-art deep learning techniques for microscopy image analysis, with a focus on image denoising and segmentation.
The next course “Deep learning for microscopy image analysis”, open to 24 students, will take place virtually from 22 to 26 November with the participation of lecturers from EMBL, University of Birmingham, CZ Biohub, EMBL-EBI and EPFL.