OME-NGFF：用于扩展生物成像数据访问策略的下一代文件格式。

University of Dundee, Dundee, UK.

Glencoe Software, Inc., Seattle, WA, USA.

Nat Methods. 2021 Dec;18(12):1496-1498. doi: 10.1038/s41592-021-01326-w. Epub 2021 Nov 29.

The rapid pace of innovation in biological imaging and the diversity of its applications have prevented the establishment of a community-agreed standardized data format. We propose that complementing established open formats such as OME-TIFF and HDF5 with a next-generation file format such as Zarr will satisfy the majority of use cases in bioimaging. Critically, a common metadata format used in all these vessels can deliver truly findable, accessible, interoperable and reusable bioimaging data.

生物成像领域的创新步伐迅速，应用领域多样，这使得人们无法制定出一个得到业界广泛认可的标准化数据格式。我们认为，在现有的开放格式（如 OME-TIFF 和 HDF5）基础上补充使用下一代文件格式（如 Zarr），可以满足生物成像领域的大多数用例需求。关键是，所有这些容器中使用的通用元数据格式可以提供真正可发现、可访问、可互操作和可重复使用的生物成像数据。