Building a Vision‑Training VR App: From NASA’s CRS‑35 Research to Amblyotube

Building a Vision‑Training VR App: From NASA’s CRS‑35 Research to Amblyotube
NASA’s upcoming CRS‑35 mission will carry experiments that track how the visual cortex adapts in microgravity. This research is crucial for understanding neuroplasticity in the eyes—information that can be repurposed for amblyopia treatment.

Our team at Seven Sports used insights from the mission to design Amblyotube, a first‑person VR application for Meta Quest. The core engine combines:
• A blur shader that simulates a gentle optical blur on the dominant eye.
• An AI sharpener that accentuates human figures in the lazy eye.
• A magenta focus cue system for binocular fusion.

Below is an outline of the architecture:

flowchart TD
  A[User selects eye] --> B[Spawn VR environment]
  B --> C{Video choice}
  C -->|YouTube| D[Render frames]
  D -->|dominant eye| E[Blur Shader]
  D -->|lazy eye| F[AI Sharpener]
  E & F --> G[Composite gaze]
  G --> H[Binocular Fusion]

If you’re intrigued by neuromorphic vision training loops or want to contribute to the open‑source shaders, feel free to join our repo: https://github.com/sevensports/amblyotube