MCX Cloud

MCX Cloud performs GPU-accelerated Monte Carlo simulations of light transport to support biophotonics research such as light–tissue interaction studies, optical imaging analysis, and photodynamic therapy planning.

Key Features:

• Monte Carlo simulations: Executes high-performance Monte Carlo (MC) photon transport simulations for modeling light interactions with tissue.
• GPU acceleration: Supports GPU-accelerated Monte Carlo computations to increase simulation throughput.
• CPU and GPU support: Enables both CPU- and GPU-based computations.
• Container orchestration (Docker Swarm): Uses Docker Swarm-based container orchestration to enable scalable, dynamically expandable compute clusters.
• Asynchronous data communication and JSON validation: Implements asynchronous data communication protocols alongside automatic data validation using JSON schemas for simulation inputs and outputs.
• 3D visualization and fast rendering: Provides 3D visualization capabilities with fast rendering of simulation results.

Scientific Applications:

• Biophotonics research: Modeling and analysis of light–tissue interactions for basic and applied biophotonics studies.
• Light–tissue interaction studies: Simulating photon transport and distribution within biological tissues.
• Optical imaging analysis: Supporting modeling and interpretation of optical imaging modalities.
• Photodynamic therapy planning: Enabling simulation-based planning of light delivery for photodynamic therapy.

Methodology:

Uses Docker Swarm container orchestration to dynamically expand compute clusters, supports CPU- and GPU-based Monte Carlo computations, employs asynchronous data communication with automatic JSON schema validation, and includes 3D visualization with fast rendering.