MicroDraw is a collaborative vectorial annotation tool for ultra high resolution data, such as that produced by high-throughput histology.

Data visualisation uses OpenSeadragon, and data annotation uses Paper.js.

as of 2017-08-15

• install nodejs

• install mongo

• checkout the repository git clone https://github.com/r03ert0/microdraw.git

• cd microdraw

• rename and adjust configuration example files

  • github-keys.json.example -> github-keys.json
    • Get your Github developer keys for your local microdraw url
      • go to https://github.com/settings/applications/new and add a new application
      • App name: MicroDraw development for example
      • Homepage URL: http://localhost:3000
      • Authorization callback URL: http://localhost:3000/auth/github/callback
      • copy paste client id, client secret and callback URL into github-keys.json
  • public/js/base.js.example -> public/js/base.js (default should be var localhost = "http://localhost:3000";)
  • public/js/configuration.json.example -> public/js/configuration.json set database to true

• install the project

  • cd into microdraw
  • npm install

• run the project

  • in one terminal window start mongo database and type use microdraw to switch to the MicroDraw database and leave it run
  • in another terminal: cd into microdraw folder: npm start

• open http://localhost:3000 to see MicroDraws landing page and click any of the data links provided

• test data can be viewed at http://localhost:3000/data?source=/test_data/cat.json

• cd to /public directory, put yourDataFolder here which must contain
  • a folder with the folders with your data tiles in dzi format
  • the .dzi file containing the information about your data (generated by the converter)
  • a json file containing information about your data in the following form: { "pixelsPerMeter": 1000000, "tileSources": [ "yourDataFolder/yourData.dzi" ] }

This project is licensed under GNU GPL v3 or any later version.