multiscales_strict Examples

This document contains JSON examples for multiscales_strict metadata layouts.

multiscales_example

{
  "zarr_format": 3,
  "node_type": "group",
  "attributes": {
    "ome": {
      "version": "0.5",
      "multiscales": [
        {
          "name": "example",
          "axes": [
            { "name": "t", "type": "time", "unit": "millisecond" },
            { "name": "c", "type": "channel" },
            { "name": "z", "type": "space", "unit": "micrometer" },
            { "name": "y", "type": "space", "unit": "micrometer" },
            { "name": "x", "type": "space", "unit": "micrometer" }
          ],
          "datasets": [
            {
              "path": "0",
              "coordinateTransformations": [
                {
                  // the voxel size for the first scale level (0.5 micrometer)
                  "type": "scale",
                  "scale": [1.0, 1.0, 0.5, 0.5, 0.5]
                }
              ]
            },
            {
              "path": "1",
              "coordinateTransformations": [
                {
                  // the voxel size for the second scale level (downscaled by a factor of 2 -> 1 micrometer)
                  "type": "scale",
                  "scale": [1.0, 1.0, 1.0, 1.0, 1.0]
                }
              ]
            },
            {
              "path": "2",
              "coordinateTransformations": [
                {
                  // the voxel size for the third scale level (downscaled by a factor of 4 -> 2 micrometer)
                  "type": "scale",
                  "scale": [1.0, 1.0, 2.0, 2.0, 2.0]
                }
              ]
            }
          ],
          "coordinateTransformations": [
            {
              // the time unit (0.1 milliseconds), which is the same for each scale level
              "type": "scale",
              "scale": [0.1, 1.0, 1.0, 1.0, 1.0]
            }
          ],
          "type": "gaussian",
          "metadata": {
            "description": "the fields in metadata depend on the downscaling implementation. Here, the parameters passed to the skimage function are given",
            "method": "skimage.transform.pyramid_gaussian",
            "version": "0.16.1",
            "args": "[true]",
            "kwargs": { "multichannel": true }
          }
        }
      ]
    }
  }
}

multiscales_transformations

{
  "zarr_format": 3,
  "node_type": "group",
  "attributes": {
    "ome": {
      "version": "0.5",
      "multiscales": [
        {
          "axes": [
            {
              "name": "y",
              "type": "space",
              "unit": "micrometer"
            },
            {
              "name": "x",
              "type": "space",
              "unit": "micrometer"
            }
          ],
          "datasets": [
            {
              "path": "0",
              "coordinateTransformations": [
                {
                  "scale": [1, 1],
                  "type": "scale"
                }
              ]
            }
          ],
          "coordinateTransformations": [
            {
              "scale": [10, 10],
              "type": "scale"
            }
          ],
          "name": "image_with_coordinateTransformations",
          "type": "foo",
          "metadata": {
            "key": "value"
          }
        }
      ]
    }
  }
}