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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).
Current Extensions: Lensing (ROI Exploration and Annotation) | Gating | Spatial Neighborhood Analysis
