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

Seven Sports built Amblyotube, a first-person VR vision-training app for Meta Quest aimed at amblyopia (lazy eye) treatment, drawing on research tied to NASA's upcoming CRS-35 mission on visual cortex adaptation in microgravity. The app combines a blur shader that softens the dominant eye's view, an AI sharpener that accentuates human figures for the lazy eye, and a magenta focus cue system for binocular fusion, with the team inviting contributions to its open-source shaders.

by read1 min views1 publishedOct 17, 2026

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

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