# Beta Release of Spatial Data on Census! **Published:** Jan 14, 2025 **By:** Cathy Stolitzka, Isaac Virshup, Maximilian Lombardo The Census team is pleased to announce the release of Spatial data on Census! This has been a large joint effort between the Census team and TileDB to create an easy-to-use and backwards-compatible spatial schema that enables easy analysis with non-spatial and spatial data! This first release is a **beta release** with the ability to export all spatial data (10x Visium Spatial Gene Expression and Slide-seqV2) from an `obs/var` query to {class}`~spatialdata.SpatialData` ([spatialdata.scverse.org](https://spatialdata.scverse.org/en/stable/)). The ability to query census with spatial-based filters, transforms, etc., is not supported and will be implemented in a future release. --- ## SOMA Spatial Data Model ![Updated CELLxGENE Census Schema with spatial data](/census-spatial-schema.svg) ### Building Blocks #### **{class}`tiledbsoma.Experiment`** A collection encapsulating data from one or more single-cell datasets, with reserved attributes: | Field Name | Field Description | |-------------------------|-----------------------------------------------------------------------------------| | `obs` | A DataFrame for observation metadata | | `ms` | A collection (`Measurement`), with cell-by-gene data matrices and a gene metadata DataFrame | | **[NEW] `spatial`** | A collection of `Scene` objects (see below) | | **[NEW] `obs_spatial_presence`** | A DataFrame to map observations to `Scene` objects | --- #### **[NEW] {class}`tiledbsoma.Scene`** A collection of spatial assets. All assets in one `Scene` should correspond to the same physical coordinate system. The collection provides operations for getting, setting, and transforming between coordinate systems, with reserved attributes: | Field Name | Field Description | |--------------|-----------------------------------------------------------------------------------------------------------------------------------------------------| | `obsl` | A collection of spatial arrays and collections. The rows in these arrays correspond to observations and may correspond to `obs` of an `Experiment`. | | `varl` | A collection of collections for spatial arrays on the `Measurement`s. The top-level collection is indexed by measurement name. The rows in the contained arrays correspond to features and may correspond to `var` of the associated `Measurement`. | | `img` | A `Collection` of `MultiscaleImage`s | --- #### **[NEW] {class}`tiledbsoma.MultiscaleImage`** A group of multi-resolution images that can be accessed by levels. Below are some sample operations on this collection type. Every {class}`~tiledbsoma.DenseNDArray` in the collection must be mappable to the same physical space by scaling only. | Operation | Description | |-------------------|-------------------------------------------------------------------------| | `.levels()` | Returns a mapping of `{member_name: (uri, shape)}`. | | {attr}`~tiledbsoma.MultiscaleImage.coordinate_space` | Coordinate space for the base level of this `MultiscaleImage` | | {obj}`~tiledbsoma.MultiscaleImage.get_transform_to_level` / {obj}`~tiledbsoma.MultiscaleImage.get_transform_from_level` | Get `ScaleTransform` to and from specified level to base level of image |