Speaker
Description
TIFF is a popular format to store multi-dimensional scientific images in. European Spallation Source ERIC (ESS) will also provide reduced TIFF image stacks to our imaging technique users.
At ESS, we use a data catalogue framework(scicat) to comply with the FAIR data policy. However, the physical properties of reduced data are not always possible to be inherited from parent datasets or recorded as scientific metadata of the catalogue dataset instances. Therefore we needed a standard way of storing the physical properties of the image, e.g. physical coordinates, ideally close to the file.
There are flexible conventions of multi-dimensional image format or community-specific metadata schemas. However, we needed more community-independent and simple, straightforward way of storing scientific metadata. In order to quickly establish the minimum viable product of the image metadata standard, we started the scitiff project.
Scitiff hosts programming-language-independent json metadata schema as well as Python APIs. It piggy-bags on the ImageJ hyper-image-stack format and dict-like plain text ImageJ metadata. Scitiff also inherits the concept of data structure with physical units and dimensions from scipp project.
At the presentation, we will:
- Introduce the concept of the physical units and dimensions in scipp project in relation to the scitiff project.
- Explain how we implemented the scitiff schema that is compatible with scipp data structure.
- Demonstrate the scitiff Python I/O API module.
- Discuss the project boundaries and roadmap.
