The Chan Zuckerberg Initiative (CZI) imaging program seeks to give biologists access to reproducible quantitative image analysis. Towards that end, CZI has partnered with napari, a community-built, Python-based, open source tool for browsing, annotating, and analyzing large multi-dimensional images. CZI invites applications to support napari’s growing library of plugins with grants of $20,000 in total costs to improve the quality of one or more existing napari plugins through improvements to documentation, user support, usability, reliability, or other activities.
While napari is designed for a broad variety of imaging domains and welcomes plugin developers building a wide variety of tools, this funding call aims to ensure that the napari ecosystem supports a critical mass of foundational image processing and analysis methods for cell biology. In addition to plugin quality improvement grants, CZI also invites applications for grants of $20,000 in total costs for developers to convert one or more existing image analysis tools for cellular biology to one or more napari plugins.
