
The data model includes entities from molecular biology, anatomic atlases, laboratory artifacts, experiments, and annotations. Refer to the Class Hierarchy and Class List for the models’ details, including their members and associations. Use RESTful Model Access (RMA) to retrieve details for instances of the models.
Image-based experiments are modeled as SectionDataSets. One SectionDataSet represents a single experiment associated with a Specimen. A SectionDataSet has an ordered set of SectionImages, each representing one section.
Multiple experiments may be associated with one Specimen. Typically, the sectioning scheme divided the specimen into interleaving SectionDataSets with a specific sampling density. The SectionImage.section_number attribute can be used to order SectionImages in the context of the whole Specimen.
The image data associated with a SectionImage object are stored in an internal hierarchical tile based format. Users can download high resolution images for every experiment. These images are typically large. The Image Service supports requests for specific regions of interest and/or lower image resolutions.
Depending on the scanning system, the original image file may contain one or more tissue sections. If there are several sections, a SectionImage is defined by a bounding box (attributes: x, y, width, height) on the image containing multiple sections. The SectionImage.resolution attribute reports the pixel dimension in microns at the full resolution.
Learn about Connected Services and Pipes with comprehensive guides and examples from Allen Institute for Brain Science.
Learn about Restful Model Access RMA with comprehensive guides and examples from Allen Institute for Brain Science.
Learn about Quantified Data By Structures with comprehensive guides and examples from Allen Institute for Brain Science.