This is an openseadragon based Cellular Image Viewing and Analysis Tool. It is built with a python Flask backend and a Node.js javascript frontend.
Releases can be found here: https://github.com/labsyspharm/minerva_analysis/releases These are executables for Windows and MacOS that can be run locally without any installations.
docker build -t gating .
docker run --rm -dp 8000:8000 -v [source path]:/[target path] gating
where
--rm
cleans up the container after it finishes executing-v
mounts the "present working directory" (containing your data) to be /data
inside the container. This is necessary in order to import your data via the import page.-dp
forwards the port 8000Once the container is running, go to http://localhost:8000/
in your web browser.
To import your imaging files in the import gui type in the mounted /data/..
git clone https://github.com/labsyspharm/minerva_analysis.git
git checkout gating
git pull
to make sure everything is up to date conda activate minerva_analysis
python run.py
- Runs the webserver
Access the tool via http://localhost:8000/
This step is only needed when you plan to edit js code. The codebase already included bundled js files.
/minerva_analysis/client
and run npm install
to install all packages listed in package.json.npm run start
to package the Javascript, or run npm run watch
if you plan on editing dependenciesAny tagged commit to a branch will trigger a build, where tag == commit message
. This will appear under releases. Note building may take ~10 min.
Tagging Conventions: All release tags should look like v{version_number}_{branch_name}
.