OMERO Vitessce multimodal data viewer plugin for OMERO.web
Project description
OMERO.omero_vitessce
OMERO-vitessce is an OMERO.web plugin for the Vitessce multimodal data viewer.
Installation
This section assumes that an OMERO.web is already installed.
Install the app using pip:
NB: You need to ensure that you are running pip
from the python environment
where omero-web
is installed.
$ pip install -U omero-vitessce
Add the app to the omero.web.apps
setting:
$ omero config append omero.web.apps '"omero_vitessce"'
Add omero_vitessce
as a tab in the right-hand-side panel:
$ omero config append omero.web.ui.right_plugins '["Vitessce", "omero_vitessce/webclient_plugins/right_plugin.vitessce.js.html", "vitessce_tab"]'
Add omero_vitessce
as an open-with option:
omero config append omero.web.open_with '["omero_vitessce", "open_vitessce", {"supported_objects": ["project", "dataset", "image"], "label": "Vitessce"}]'
Add the omero web address (replace ´'"http://localhost:4080"'´ with your address):
$ omero config set omero.web.omero_vitessce.serveraddress '"http://localhost:4080"'
Now restart OMERO.web as normal for the configuration above to take effect.
omero-web-zarr
While omero-web-zarr is not a requirement, but it is strongly recommended to have it installed and enabled for using this plugin omero-web-zarr is necessary to take advantage of the autogenerated config files for the Vitessce viewer, as they rely on omero-web-zarr to serve the images to the viewer.
Please see https://pypi.org/project/omero-web-zarr/ for instructions on installing and enabling the omero-web-zarr plugin.
Usage
Selecting the viewer
The plugin can be used with:
Vitessce
Tab on the right hand side panel.Open with
->
Vitessce
on the left side panel.
Right-hand-side panel:
- Prexisting config files:
Clicking the link will open a new tab with the viewer displaying the selected configuration.
- Generating custom config files:
The form allows the user to automatically generate a config file with the selected parameters. After clicking the Generate Config
button
a config file is generated and attached to the dataset/image. The viewer displaying the autogenerated configuration will open in a new tab.
Open-with:
Right click on a dataset
or an images
in the left-panel and select open-with
-> Vitessce
.
This will open the vitessce viewer in a new tab using the first configuration file attachement.
Viewer window
After autogenerating or selecting a config file, the Vitessce viewer is opened in a new tab:
The viewer panels can also be rearranged to better fit the image type/size.
Config files
The omero-vitessce plugin considers all files with the .json
extension attached to the image or dataset as config files for the viewer.
The config files should follow the vitessce view-config-json format: http://vitessce.io/docs/view-config-json/
Custom config files generated from the right-tab
Config files can be generated for:
images
datasets
Assumes that omero-web-zarr is available to serve the images.
The attachements must be either OMERO.tables or files in.csv
format and the column with the cell identifiers should be consistent across attachements.
Only files attached to the dataset/image are available in the form.
The following fields are available:
Save Config
(required,True
): Save the viewer configuration as an attahment to the current Image/Dataset before launching the viewer.Config file name
(optional, "VitessceConfig-YYYY.MM.DD_HHMMSS.json"): Name of the config file to attach, a ".json" extension is added if missing.Images
(required): OMERO Image(s) to view, assumes the same pixel size for all images.Segmentation
(optional,None
): Label image to overlay on the image, pixel values correspond to cell identities.ROIs
(optional,False
): Use the ROIs from OMERO as a cell segmentation. Assumes 1 polygon/rectangle shape per ROI, whose text value is the cell identity.Cell identities
(optional,None
):.csv
file / OMERO.table with at least 2 columns:Cell id column
andLabel column
defined in the 2 fields below.Cell id column
(optional, "cell_id"): Name of theCell id column
used inCell identities
,Expression
,Embeddings
.Label column
(optional, "label"): Name of theLabel
used inCell identities
.Expression
(optional,None
):.csv
file / OMERO.table with theCell id column
all other columns are considered as expression values and should be numerical.Embeddings
(optional,None
):.csv
file / OMERO.table with theCell id column
and theEmbedding x
andEmbedding y
columns defined in the 2 fields below.Embedding x
(optional, "UMAP_1"): Name of theEmbedding x
used inEmbeddings
.Embedding y
(optional, "UMAP_2"): Name of theEmbedding y
used inEmbeddings
.Molecules
(optional,None
):.csv
file / OMERO.table with at least 4 columns: Molecule id, label, x, y (headers in the fields below).Molecule id
(optional, "id"): Name of theMolecule id column
used inMolecules
.Molecule label
(optional, "gene"): Name of theMolecule label column
used inMolecules
.Molecule x
(optional, "x"): Name of theMolecule x column
used inMolecules
.Molecule y
(optional, "y"): Name of theMolecule y column
used inMolecules
.Histograms
(required ,True
): Add 3 plots showing: The number of transcripts per cell, the number of cells in each set, gene expression in each set.Heatmap
(required ,True
): Adds an heatmap.Status
(required ,False
): Adds a status panel to display info on the selected cell.Description
(required ,False
): Adds a description panel to display info on the dataset/image (taken from the description metadata field from OMERO).
The Config file name
field depends on the Save Config
field. When the Save Config
field is not checked, the Config file name
field is disabled and its value ignored.
The ROIs
and Segmentation
fields are mutually exclusive, when the ROI field is selected the segmentation image is not considered.
The Expression
and Cell identities
files are required to show the histograms.
The Embeddings
file is necessary to show the cells in a scatterplot.
The Molecules
file is used to overlay molecules on the image. All molecules are displayed and selecting by gene is not yet possible.
The Status
panel will be empty unless a Segmentation
or Embeddings
are provided.
The ROIs
are used as cells. Only the first shape is considered, and only polygons and rectangles are kept (TO DO: add support for ellipses). Other shapes are skipped.
The text value of the shape is used as a cell identity to link with expression/labels/embeddings, if there is no text value the ROI is skipped.
OMERO.tables for use with omero-vitessce can be generated with:
- OMERO python API (https://omero.readthedocs.io/en/stable/developers/Tables.html) or ezomero (https://thejacksonlaboratory.github.io/ezomero/ezomero.html#ezomero.post_table)
- Fiji (https://wiki-biop.epfl.ch/en/data-management/omero/omero-tables#create-omerotables-from-a-fiji-script)
- QuPath (https://wiki-biop.epfl.ch/en/data-management/omero/qupath#annotations-measurement-tables)
- other tools / APIs:
OMERO.tables with a number of rows > omero.web.max_table_download_rows
(default 10000
) will be truncated, and the value ignored by omero-vitessce.
Attaching preexisting config files
Custom config files should have a .json
extension and added as attachements to a dataset or an image.
The configuration files does not need to refer to the dataset / image it is attached to and can refer to other images.
For how to create a custom config file see:
Serving the images / rois / data / metadata
Images and data can be served through:
- omero-web-zarr: OME-NGFF images only.
- omero-openlink: all images and file attachements.
webclient/annotation/
endpoint: only for Annotations (useful for file attachments).webclient/omero_table/ID/csv?limit=MAX_TABLE_DOWNLOAD_ROWS
endpoint (ID
= OMERO file ID of the OMERO.table,MAX_TABLE_DOWNLOAD_ROWS
= the OMERO.web setting): for getting OMERO.tables ascsv
files.omero_vitessce/vitessce_json_rois/ID1,ID2,...
endpoint whereID1,ID2,...
is a comma-separated list of image ids, to get the first shape of each ROI injson
format.
Example showing ROIs from OMERO displayed in the omero-vitessce viewer window:
Development
Sources
The main sources this project relies on are:
- omero-vitessce from Will Moore for handling ROIs: https://github.com/will-moore/omero-vitessce
- cookiecutter-omero-webapp: https://github.com/ome/cookiecutter-omero-webapp
react_webapp
from omero-web-apps-examples: https://github.com/ome/omero-web-apps-examples/tree/master/react-webapp- Vitessce python package used for generating config files http://python-docs.vitessce.io/
- omero-web-zarr to serve OME-NGFF images: https://github.com/ome/omero-web-zarr
- omero-openlink to serve images and other files: https://github.com/sukunis/OMERO.openlink
- omero-test-infra for testing: https://github.com/ome/omero-test-infra
Tests
Test dataset
The dataset used for automated testing is at: test/data/MB266 This is a cropped version derived from larger images and their associated data available at: https://doi.org/10.5281/zenodo.13832665
The original data are available at: https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BIAD1093
The associated publication is available at: https://www.biorxiv.org/content/10.1101/2024.04.03.586404v1
omero-test-infra configuration
omero-test-infra is used for automated tests with github-actions. The workflow setups an omero installation in docker and then:
- Runs app-config to set up the omero-web plugin configuration.
- Runs app-build which:
- runs to create a test user/group and upload a test dataset.
- runs pytest tests in: test/integration
It is possible to perform these tests locally by:
- Starting the docker daemon.
- Cloning the omero-test infra repository inside the base folder of omero-vitessce:
git clone https://github.com/openmicroscopy/omero-test-infra .omero
- Running:
.omero/app-docker
React web app
omero_vitessce web app
We serve a custom version of the vitesce app: http://vitessce.io/
The app sets up a vitessce view configured through a text file in json format: http://vitessce.io/docs/view-config-json/
The configuration file is taken from the ?config
url parameter.
Installation
This project was created with Create React App.
You can run this project in development mode or as an OMERO.web Django app.
To get started:
$ cd vitessce_app
$ npm install
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm run build
Builds the app for production to the build
folder and copies the
html and static files to the Django app in vitessce app
. See the deploy_build.sh script.
You also need to install the app into your omero-web
environment:
# cd to the root of the repo
$ pip install -e .
You will need to have the app configured in your OMERO.web install:
$ omero config append omero.web.apps '"omero_vitessce"'
$ omero config append omero.web.ui.right_plugins '["Vitessce", "omero_vitessce/webclient_plugins/right_plugin.vitessce.js.html", "vitessce_tab"]'
$ omero config set omero.web.omero_vitessce.serveraddress '"http://localhost:4080"'
It bundles React in production mode and optimizes the build for the best performance.
See the Create React App section about deployment for more information.
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