Overview
Retinal prostheses, commonly called bionic eyes, are implantable optoelectronic devices designed to restore structural visual perception to patients suffering from degenerative outer-retinal diseases. By bypassing severely damaged photoreceptors (such as rods and cones), these systems directly excite remaining functional inner-retinal architecture, specifically Retinal Ganglion Cells (RGCs).
This simulator translates incoming video signals into a pattern of discrete, glowing optical stimulation points called phosphenes. It uses synthetic tissue damage templates to visually demonstrate how clinical ocular conditions interact with artificial implant hardware in real-time.
How to Use
The application functions as a live sensory laboratory. Follow these sequential instructions to run evaluations:
- Select Visual Source: Pick from dynamic geometric shapes, moving Sloan letter eye charts, active pedestrian street hazards, or grant camera permissions to sample your live webcam feed.
- Simulate Pathologies: Choose a disease (AMD, Retinitis Pigmentosa, Glaucoma, or Diabetic Retinopathy) and adjust the severity slider to see how localized visual cell death compromises spatial grids.
- Configure Hardware: Modify matrix resolution, electrode radial glow diffusion, temporal persistence lag, and hardware display phosphor tint colors.
- Perform Sonification sweeps: Toggle the Sonification Scanner to map visual phosphene columns to real-time harmonic soundscapes using visual-to-auditory substitution.
Technical Details
This interface is written completely in native client-side web technologies to ensure low-overhead, high-performance execution metrics:
- Offscreen Canvas Buffer: Captures high-contrast vector animations and dynamically downsamples them to physical stimulation coordinate limits.
- Pixel Matrix Attenuation: Computes cell integrity scaling ratios mapped against standard visual brightness algorithms:
Phosphene_Brightness = Video_Brightness × Tissue_Health. - Web Audio API Oscillator Banks: Generates multi-voice synthetic frequencies using a spatial sweep encoder mapping height logarithmic scales from 130 Hz to 900 Hz.
- INP Optimization: Keeps visual interaction latency low by processing rendering pipelines entirely within isolated high-frequency
requestAnimationFrameintervals.
Future Directions
The clinical roadmap for artificial micro-electrode bio-engineering focuses on:
- Dynamic Current Steering: Implementing smart field-shaping equations to prevent adjacent electrical fields from merging, which blurs spatial perception.
- Neural-Network Visual Optimization: Integrating AI edge extraction, high-contrast silhouette filtering, and deep map pre-processing directly on micro-processors before stimulating hardware arrays.
- Optogenetic Alternatives: Exploring genetic engineering methods to express light-sensitive proteins directly inside surviving cellular layers, bypassing hardware limitations entirely.