— title: Quick Start —

Luna docker images are available to help you get started with Luna. Before running these images, be sure to install [Docker](https://docs.docker.com/get-docker/) on your workspace.

# Running Luna Pathology Tutorials on Docker

We provide a docker image to help you get started with pathology analysis using Luna workflows. This image includes:

  • Luna pathology library

  • Luna notebook tutorials with sample data

Along with web applications:

  • JupyterLab for running notebooks

  • Digital Slide Archive (girder and mongodb) for viewing the slides and annotations

These set of [notebook tutorials](tutorials/index.md) walk you through analysis workflows. A static version of the notebook tutorials is also available on the documentation site for your reference.

## 1. Clone the git repository

` git clone https://github.com/msk-mind/docker.git `

## 2. Run the docker-compose

  • Build the docker image

` cd docker/luna_tutorial make build `

  • Run the docker image

` make run `

Copy paste the Jupyter URL printed in luna_tutorial/vmount/logs/tutorial.log, and you will see a set of ipynb notebooks for exploring end-to-end Luna pathology analysis workflow.

To login to DSA, go to <http://localhost:8080> and login with admin/password. After login, you can navigate to the TCGA Collection, and explore images on HistomicsUI. For details on using DSA, please refer to [DSA documentation](https://digitalslidearchive.github.io/digital_slide_archive/)