Chan Zuckerberg Initiative awards grant to Alan Lowe

The Lowe lab has been awarded a grant from the Chan Zuckerberg Initiative (CZI) to develop single-cell tracking software for the community-built napari ecosystem. One of the significant challenges of single-cell biology is to provide quantitative descriptions of cell behaviour over time. Recent advances in machine learning-based instance segmentation of cells in microscopy image data has greatly improved our ability to gain biomedical insights. Linking these observations over time to extract reliable cell trajectories and derive lineage information across several generations is key. Having fully annotated cell trajectories will enable scientists to understand how cellular systems evolve over time in development and disease. Building upon our recently developed technologies for single-cell tracking, this project will integrate these tools with napari to create a suite of interoperable tools that enable the next generation of single-cell biology.

Read more about the single-cell tracking technology:
Automated deep lineage tree analysis using a Bayesian single-cell tracking approach
https://www.frontiersin.org/articles/10.3389/fcomp.2021.734559/full

Read more about the grant:
https://chanzuckerberg.com/science/programs-resources/imaging/napari/plugin-development-for-single-cell-tracking/

Read the CZI press release:
https://chanzuckerberg.com/newsroom/czi-awards-over-5m-to-advance-technologies-and-expand-global-access-to-bioimaging/

Read more about Alan Lowe:
http://lowe.cs.ucl.ac.uk/

Header image is of single cell tracks over time, as recorded by the Lowe lab.