SciPy 2023

Imaging communities across different fields (microscopy, remote sensing, medical imaging, materials science) are currently all moving to develop cloud- and chunking friendly imaging formats based around Zarr. This includes OME-NGFF and GeoZarr. Although pretty much everyone has agreed on Zarr as the container for the image data, there is ongoing discussion about how best to store metadata about the images. In this BoF we'll discuss ways to encode where each pixel in the image is located in space (and time!) (and frequency!), and whether it's possible to harmonize this encoding across the different formats and standards. A relevant issue is https://github.com/ome/ngff/issues/174.

Each new SciPy brings even more tools for data visualization and for building data-rich scientific applications and dashboards. This BoF brings together maintainers of Python tools for data visualization and building apps to help make sense of this complex landscape for users and to highlight new developments, trends, and opportunities. Join us and stay ahead of the curve!