About the Platform

Welcome to the QIM Platform. Our team of experts in image analysis, machine learning, and software development have created an easy-to-use image analysis platform that focuses on 3D imaging applications, making it simple and efficient for you to analyze your images.

The platform is still in its early stages, and under constant development. Our main goal for the moment is to have feedback from the first users, so that the usability can be improved and features that actually can improve your workflow are set in place.

For the moment we have a test set of tools, divided into two categories: local and remote.

Local tools

They run on the browser, but use your computer resources. They are meant as a showcase of what would be possible to do using the cluster, or as an alternative in case you're using a computer that don't have your usual tools installed. Local tools don't require a login to be used (as they don't increase the load on our servers)

Jupyterlite

Simple jupyter lab running on the browser

ImageJ.js

Basic version of ImageJ

Pyodide

Simple Python shell, usefull for quick tests

Remote tools

They use the computational resources of DTU, so a login is necessary to access them. They are meant as an easy way to access the resources and use more complex image analysis tools with a more friendly interface

iso3d

3D visualization using iso-surfaces

3D Local thickness

Graphical interface for Fast local thickness in 3D and 2D, allowing

GitHub


Partners



The development of the QIM Platform is supported by the Novo Nordisk Foundation