This project has been made possible in part by a grant from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation.
OME-NGFF: Towards a community standard image file format for sharing big image data in the cloud
Date & Time: 6 April 2022, 14:00 - 17:00 Central European Summer Time (CEST)
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Differences in nomenclature and data formats in BioImaging data inhibit sharing. For users, translating between data formats is imperfect, time-consuming and must be performed repeatedly. Combined with the growing number of formats and advancements in both data volume and complexity, translation is increasingly a bottleneck. We will present recent work on a next-generation format that aims to enable a one-time conversion of datasets to a common format as well as the ability to store them on highly-parallel object storage. We propose that such a next-generation format can revolutionize the sharing of bioimaging data by expediting access and driving discovery. We imagine the same strategy is amenable to image repositories like the BioImage Archive or Image Data Resource, but also a large number of lab and institutional tools.
This workshop will serve as an introduction to OME-NGFF file format and hence, is suitable for beginners to this topic.
This workshop will be delivered by Christian Tischer (EMBL Heidelberg) and Josh Moore (Open Microscopy Environment team).
Register here:
https://www.surveymonkey.com/r/ome-ngff-workshop
Registration deadline:
5 April 2022, 12:00 CEST
Eligibility: This workshop is open to everyone around the globe including researchers and core facility staff
For more information about the topic, please consult the following pages:
Nature Article: OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies
bioRxiv article: OME-NGFF: scalable format strategies for interoperable bioimaging data
