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Welcome to the Minerva Analysis wiki.
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
The basic version of the tool provides a set of core functionalities for large scale exploration of (segmented) images and linked data. These features include data importing and matching, channel-based and cell-based rendering, and linkage between image and extracted features (csv file). A main advantage of the tool is its scalability. On the fly delivery of image channels and segmentation masks sections in the viewport in combination with backend-based data filtering and front-end webgl rendering allow to explore very large and high resultion datasets interactively in the browser.
The codebase (see master branch) can be extended for more specific tasks. (see Extensions).
