Jug Group awarded CZI grants to support advancement of imaging technologies
16 November 2021
Jug Group awarded CZI grants to support advancement of imaging technologies
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.
Human Technopole is opening its National Facilities, providing advanced equipment and technologies accessible through calls for proposals open to the Italian scientific community. Projects will be selected by a commission of international experts. Scientists will have access to five new dedicated facilities, which act as catalysts for open innovation in the life sciences sector, crucial for research and the health of Italians.
An international team of scientists led by HT researchers Magda Bienko and Nicola Crosetto developed an open-source software for deconvolution of widefield fluorescence microscopy image stacks and large tissue scans. This new tool increases the information obtained with fluorescence microscopy-based spatial omic methods.
HT researchers are part of an international team of scientists that discovered genetic clues to the cause of restless leg syndrome, a condition common among older adults. The finding could help identify those individuals at greatest risk of the condition and point to potential ways to treat it.
Human Technopole (HT) is glad to announce the availability of 4 new fully funded PhD positions in the fields of Health Data Science, Population and Medical Genomics and Computational Biology. These positions aim to attract highly motivated graduates with strong academic backgrounds who are interested in cutting-edge research in data science.
Human Technopole is offering up to 19 fully funded PhD scholarships to young scientists from the national and international community who wish to undertake a doctoral degree on a project focused on Computational Biology, Structural Biology, Genomics, Neurogenomics or Biophysical modelling.
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