Real-Time Spectral Data Visualization Pipeline with WebGL

Design a high-performance WebGL-accelerated visualization system for processing and rendering real-time spectral data from scientific instruments. The solution must handle streaming JSON data from multiple sensor sources, support dynamic color mapping of intensity ranges, and maintain sub-50ms rendering latency for datasets up to 100,000 data points. Implement adaptive resolution scaling and GPU-optimized rendering techniques using Three.js or pure WebGL. Include performance profiling mechanisms to track rendering metrics and memory consumption.