2024 OME-NGFF workflows hackathon

QIM Working Group Meeting

21.03.2025

slides.com/delestro/2024-ome-zarr

Firstly,
how did I find out about this?

https://forum.image.sc/t/preprint-2024-ome-ngff-workflows-hackathon-report/109837

David Stansby (Human Organ Atlas)

https://github.com/dstansby

Christian Tischer (GloBIAS)

https://github.com/tischi

OME-Zarr specification

Josh Moore

https://ngff.openmicroscopy.org/latest/

https://fractal-analytics-platform.github.io/

https://github.com/ome-zarr-models/ome-zarr-models-py

https://xkcd.com/927

https://github.com/HEFTIEProject

Handling Enormous Files from Tomography Imaging Experiments

Are there any alternatives?

ZAG Workshop: Advanced Visualization Tools in Heritage Science

Christoph Heinzl
(University of Passau, Germany) https://publica.fraunhofer.de/handle/publica/439609

Conclusions

  • A lot of community effort and development is being done for large-than-memory computing. We should engage more with them.
     
  • Zarr v3 solves the "lots of files" issues we discussed during the last meeting. But the standard is very recent and still requires development
     
  • They didn't mention the issue with 3D and multi-scale