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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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Next-Generation File Formats (NGFF) + OME-Zarr
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===============================================
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# Next-Generation File Formats (NGFF) + OME-Zarr
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Welcome to the Next-Generation File Formats (NGFF) main page! This site is dedicated to providing resources for the NGFF community and those that are interested in getting started with OME-Zarr.
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NGFF vs OME-Zarr, what is the difference?
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In summary, OME-Zarr allows you to store, share and stream large images like these 500 GB:
You can find more samples of such data from the Image Data Resource at <https://idr.github.io/ome-ngff-samples/>.
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## NGFF vs OME-Zarr, what is the difference?
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**OME-Zarr** is the file format that the NGFF community has settled on to address issues of scalability and interoperability described below.
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**NGFF** is the community-driven process for designing the next generation of bioimaging formats. NGFF brings together the community to define shared specifications, metadata standards, and best practices. OME-Zarr implements those decisions, providing a practical, open, and scalable way to store and share modern microscopy data. As the NGFF specifications evolve, OME-Zarr evolves with them — ensuring the format reflects the needs and experience of the wider community.
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What is an OME-Zarr?
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## What is an OME-Zarr?
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An OME-Zarr is a file format optimized for storying, viewing, & sharing large images.
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There are two parts to an OME-Zarr:
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***The "Zarr" part describes how the pixel data for the images are laid out**
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* The "OME", which stands for `Open Microscopy Environment<https://www.openmicroscopy.org/>`_, part describes metadata about the pixel data. This includes metadata such as:
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* The "OME", which stands for [Open Microscopy Environment](https://www.openmicroscopy.org/), part describes metadata about the pixel data. This includes metadata such as:
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* spatial relationships
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* high content screening data
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* well data
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* `and more </specifications/index.html>`_!
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*[and more](/specifications/index.html)!
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## Why would I use OME-Zarr?
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Why would I use OME-Zarr?
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OME-Zarr files have two major benefits:
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* Chunking is inherent to "Zarr" files. This means "Zarr" files are stored in independently-accessible blocks.
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***Sharing**: A standardized imaging metadata format can ease cross-organization file sharing and can therefore aid organizational collaboration and data sharing.
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***Interoperability**: Standardized metadata can also enable the interoperability of tools.
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When would I not use OME-Zarr?
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* If your file isn’t very big and you’re working with local data, the current specification of OME-Zarr can be less convenient than a single-file format and the benefits are limited. Planned expansions to the OME-Zarr specification will make it more convenient to work with it in these scenarios (e.g. single-file Zarrs) and add features that might make it beneficial to use OME-Zarr even in these scenarios (e.g. transformations).
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## When would I not use OME-Zarr?
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* If your file isn't very big and you're working with local data, the current specification of OME-Zarr can be less convenient than a single-file format and the benefits are limited. Planned expansions to the OME-Zarr specification will make it more convenient to work with it in these scenarios (e.g. single-file Zarrs) and add features that might make it beneficial to use OME-Zarr even in these scenarios (e.g. transformations).
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* If your original file is lossy compressed, you will see a large increase in file size as the images are decompressed into OME-Zarr. There is not yet support for transferring lossy compressed image tiles to OME-Zarr. This currently impacts most whole slide image (WSI) formats such as SVS, CZI, and NDPI, which are lossy JPEG compressed by default and see about a 10x size increase into OME-Zarr.
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Who is using OME-Zarr?
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-----------------------
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## Who is using OME-Zarr?
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These are *some* of the organizations (and their dataset pages) that are using OME-Zarr for their data.
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