multiscales_strict Examples

This document contains JSON examples for multiscales_strict metadata layouts.

multiscales_example

{
    "multiscales": [
        {
            "version": "0.4",
            "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

{
    "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"
                }
            ],
            "version": "0.4",
            "name": "image_with_coordinateTransformations",
            "type": "foo",
            "metadata": {
                "key": "value"
            }
        }
    ]
}