A WebGL-powered toolkit for interactive visualization of high-resolution, multiplexed bioimaging datasets.
About
Viv is a JavaScript library for rendering OME-TIFF and OME-NGFF (Zarr) directly in the browser. The rendering components of Viv are packaged as deck.gl layers, making it easy to compose with existing layers to create rich interactive visualizations.
More details and related work can be found in our paper and original preprint. Please cite our paper in your research:
Trevor Manz, Ilan Gold, Nathan Heath Patterson, Chuck McCallum, Mark S Keller, Bruce W Herr II, Katy Börner, Jeffrey M Spraggins, Nils Gehlenborg, "Viv: multiscale visualization of high-resolution multiplexed bioimaging data on the web." Nature Methods (2022), doi:10.31219/10.1038/s41592-022-01482-7
💻 Related Software
Screenshot | Description |
---|---|
![]() |
Avivator A lightweight viewer for local and remote datasets. The source code is include in this repository under avivator/ . See our 🎥 video tutorial to learn more. |
![]() |
Vizarr A minimal, purely client-side program for viewing OME-NGFF and other Zarr-based images. Vizarr supports a Python backend using the imjoy-rpc, allowing it to not only function as a standalone application but also directly embed in Jupyter or Google Colab Notebooks. |
💥 In Action
- Vitessce visualization framework
- HuBMAP Common Coordination Framework Exploration User Interface (CCF EUI)
- OME-Blog OME-NGFF and OME-NGFF HCS announcements
- ImJoy I2K Tutorial
- Galaxy Project includes Avivator as default viewer for OME-TIFF files
- 10x Genomics uses Viv in their viewer for Xenium In Situ Analysis Technology: demo
💾 Supported Data Formats
Viv's data loaders support OME-NGFF (Zarr), OME-TIFF, and Indexed OME-TIFF*.
We recommend converting proprietrary file formats to open standard formats via the
bioformats2raw
+ raw2ometiff
pipeline. Non-pyramidal datasets are also supported
provided the individual texture can be uploaded to the GPU (< 4096 x 4096
in pixel size).
Please see the tutorial for more information.
*We describe Indexed OME-TIFF in our paper as an optional enhancement to provide efficient random chunk access for OME-TIFF. Our approach substantially improves chunk load times for OME-TIFF datasets with large Z, C, or T dimensions that otherwise may incur long latencies due to seeking. More information on generating an IFD index (JSON) can be found in our tutorial or documentation.
💽 Installation
$ npm install @hms-dbmi/viv
You will also need to install deck.gl and other peerDependencies
manually.
This step prevent users from installing multiple versions of deck.gl in their projects.
$ npm install deck.gl @luma.gl/core
Breaking changes may happen on the minor version update. Please see the changelog for information.
📖 Documentation
Detailed API information and example sippets can be found in our documentation.
🏗️ Development
This repo is a monorepo using pnpm workspaces. The package manager used to install and link dependencies must be pnpm
.
Each folder under packages/
are a published as a separate packages on npm under the @vivjs
scope. The top-level package @hms-dbmi/viv
exports from these dependencies.
To develop and test the @hms-dbmi/viv
package:
- Run
pnpm install
inviv
root folder - Run
pnpm dev
to start a development server - Run
pnpm test
to run all tests (or specific, e.g.,pnpm test --filter=@vivjs/layers
)
🛠️ Build
To build viv's documentation and the Avivator website (under sites/
), run:
pnpm build # all packages, avivator, and documentation
pnpm -r build --filter=avivator # build a specific package or site
📄 Publish
Checkout latest master
branch, run:
# checkout a new release branch
git checkout <branch name>
# commit and tag a new version
pnpm version [major | minor | patch]
# push commit and tag simultaneously
git push --atomic origin <branch name> <tag>
Open a PR for <branch name>
. Our CI will run a release workflow for tagged commits starting
with v*
automatically. Inspect the GitHub Actions to ensure the workflow was successful.
🌎 Browser Support
Viv supports both WebGL1 and WebGL2 contexts, to provides coverage across Safari, Firefox, Chrome, and Edge. Please file an issue if you find a browser in which Viv does not work.