This OMERO command-line plugin allows you to import and export Images and ROIs from OME-Zarr format into OMERO and vice versa.
NB: This feature currently works only with OME-Zarr files hosted on public object stores OR a local filesystem accessible to the OMERO server.
The import process is similar to an "in-place" import; It does not move the data into OMERO. Instead the data is accessed via the omero-zarr-pixel-buffer, which must be installed on the OMERO server.
Images are created in OMERO and the link to the OME-Zarr data is stored in the ExternalInfo of the Image. Images are created in one of two ways:
- If the OME-Zarr data is in the bioformats2raw layout, which includes an OME/METADATA.ome.xml file, then this file is copied to the the server and imported to create a Fileset and one or more Images. This preserves all of the OME metadata in the xml file.
- Otherwise, Images are created via the OMERO API, using the metadata in the OME-Zarr files.
This feature supports export of any regular Images and Plates from OMERO into the OME-Zarr format, according to the spec at https://ngff.openmicroscopy.org/0.4/index.html as well as Masks and Polygons on the Images.
Images are exported as nD arrays of shape, up to (t, c, z, y, x). Plates are a hierarchy of plate/row/column/field(image). Masks in OMERO are 2D bitmasks which can exist on multiple planes of an Image. Polygons are 2D shapes defined by a set of vertices. In both cases, they are exported as OME-Zarr labels, with Polygons being converted to bitmasks during export.
Export is supported using 2 alternative methods:
- By default the OMERO API is used to load planes as numpy arrays and the zarr file is created from this data.
- Alternatively, if you can read directly from the OMERO binary repository and have installed https://github.com/glencoesoftware/bioformats2raw then you can use this to create zarr files.
To import a public OME-Zarr data into OMERO, use the import command:
$ omero zarr import https://example.com/path/to/file.ome.zarr # Use --target DATASET_ID to import into a Dataset $ omero zarr import https://example.com/path/to/file.ome.zarr --target 1234 # Or import local data which must be accessible to the OMERO server $ omero zarr import /path/to/file.ome.zarr
To export Images or Plates via the OMERO API:
# Image will be saved in current directory as 1.ome.zarr $ omero zarr export Image:1 # Plate will be saved in current directory as 2.ome.zarr $ omero zarr export Plate:2 # Use the Image or Plate 'name' to save e.g. my_image.ome.zarr $ omero zarr --name_by name export Image:1 # Specify an output directory $ omero zarr --output /home/user/zarr_files export Image:1 # By default, a tile (chunk) size of 1024 is used. Specify values with $ omero zarr export Image:1 --tile_width 256 --tile_height 256
NB: If the connection to OMERO is lost and the Image is partially exported, re-running the command will attempt to complete the export.
To export images via bioformats2raw we use the `--bf` flag:
export MANAGED_REPO=/var/omero/data/ManagedRepository export BF2RAW=/opt/tools/bioformats2raw-0.2.0-SNAPSHOT $ omero zarr --output /home/user/zarr_files export 1 --bf Image exported to /home/user/zarr_files/2chZT.lsm
To export Masks or Polygons for an Image or Plate, use the masks or polygons command:
# Saved under 1.ome.zarr/labels/0 # 1.ome.zarr/ should already exist... $ omero zarr masks Image:1 # ...or specify path with --source-image $ omero zarr masks Image:1 --source-image my_image.ome.zarr # Labels saved under each image. e.g 2.ome.zarr/A/1/0/labels/0 # 2.ome.zarr should already be exported or specify path with --source-image $ omero zarr masks Plate:2 # Saved under zarr_files/1.ome.zarr/labels/0 $ omero zarr --output /home/user/zarr_files masks Image:1 # Specify the label-name. (default is '0') # e.g. Export to 1.ome.zarr/labels/A $ omero zarr masks Image:1 --label-name=A # Allow overlapping masks or polygons (overlap will be maximum value of the dtype) $ omero zarr polygons Image:1 --overlaps=dtype_max
The default behaviour is to export all masks or polygons on the Image to a single nD "labeled" zarr array, with a different value for each Shape. An exception will be thrown if any of the masks overlap, unless the --overlaps option is used as above.
An alternative to handle overlapping masks is to split masks into non-overlapping zarr groups using a "label-map" which is a csv file that specifies the name of the zarr group for each ROI on the Image. Columns are ID, NAME, ROI_ID.
For example, to create a group from the textValue of each Shape, you can use this command:
omero hql --style=plain "select distinct s.textValue, s.roi.id from Shape s where s.roi.image.id = 5514375" --limit=-1 | tee 5514375.rois
This creates a file 5514375.rois like this:
0,Cell,1369132 1,Cell,1369134 2,Cell,1369136 ... 40,Chromosomes,1369131 41,Chromosomes,1369133 42,Chromosomes,1369135 ...
This will create zarr groups of Cell and Chromosomes under 5514375.zarr/labels/:
$ omero zarr masks Image:5514375 --label-map=5514375.rois
This project, similar to many Open Microscopy Environment (OME) projects, is licensed under the terms of the GNU General Public License (GPL) v2 or later.
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