In this tutorial, we show you how to get started using MCX Cloud - an open-source cloud-based in-browser Monte Carlo (MC) photon transport simulator. It has an intuitive web-interface to help users define, import and share JSON-based MCX simulations; it also has a Docker Swarm based cloud-computing backend to execute user submitted simulations across a distributed GPU cluster.
This tutorial covers the below topics:
- introduction to interface
- load built-in/shared simulations from the Browse tab
- create new simulations using the JSON or Create tabs
- import simulations from existing MCX command line inputs
- import simulations from MCXLAB simulations
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MCX (Monte Carlo eXtreme, http://mcx.space) is an open-source, GPU-accelerated 3-D photon simulator broadly used among the biomedical optics research community. It is developed and maintained by the Computational Optics and Translational Imaging (COTI) lab (http://fanglab.org) at Northeastern University, USA. The MCX project is funded by the National Institute of Health (NIH) via grant R01-GM114365.
