Date: November 18th - 22nd (core hackathon days are November 19th - 21st)
Location: Irchel Campus, Winterthurerstrasse 190, 8057 Zürich
Bioimage analysis is evolving to address challenges of big data, dealing with complex modalities like 3D and time-resolved imaging and working towards more FAIR image data and image analysis workflows. A big driver for standardization is the development of OME-NGFF, the open, next generation file format for bioimaging data. A big next step for OME-NGFF will be the adoption of the Zarr V3 standard to address concerns about file numbers in OME-Zarr files.
Following up on the successful 2023 Next generation bioimage analysis workflows hackathon (see a summary of the results here), we are bringing together leading developers and researchers this fall in Zurich Switzerland. Major topics of the hackathon will be handling OME-Zarrs in Python and in Java, how to build workflows for processing OME-Zarrs and further evolution of the OME-NGFF spec.
The hackathon consists of 3 parts: An optional pre-hackathon meeting on Monday, the main hackathon from Tuesday-Thursday an optional Friday hacking day.
This year’s hackathon will follow a set of pre-defined topics & the focus areas of the hackathon will be coordinated on in pre-hackathon meetings.
You want to lead your own topic at the hackathon? Please reach out!
This Zoom room will be open during the whole hackathon: https://uzh.zoom.us/j/66740629734?pwd=6vGfNGx7TZR8Tq7UVxrNndpBudlFab.1
Select sessions will be shared via Zoom (see Room column in the program)