OME-Zarr Ambassador Toolkit#
This section aims to provide all the resources needed to give talks about OME-Zarr for a varied range of audiences.
Slides#
Ambassador Toolkit slides. A collection of 100+ slides on OME-Zarr under CC-BY license that can be used to assemble presentations.
Talking points#
Performance
Parallel reads/writes
benchmarking on paper against OME-Tiff/HDF5
lazy loading: data is only transferred/loaded when needed by default
Suited to current research data
multidimensional by nature, just like imaging data is
URL-addressable: easy to share and access from anywhere
multi-scale: allows operating over data at multiple different resolution levels
Cloud-friendliness
optimized for high latency/high bandwidth
object storage-friendly
great at streaming data; never download a whole dataset to view a part of it again!
Community-developed
developed from the ground up to address modern infrastructure issues
wide adoption thanks to community consensus building
large community of developers and users
consistent metadata
AI-ready
well-suited to large parallel workflows
chunked format works well with ML workflows
object storage focus fits modern processing tasks
FAQs#
See the FAQ section.