Self-calibrated neuromorphic hyperspectral imaging

Hyperspectral imaging provides access to rich spectral-spatial contrast, but conventional systems are slow and rely on expensive cameras that can be difficult to operate in low light. We present OpenHI, a self-calibrated transmission hyperspectral system that sweeps diffracted illumination across the specimen and records the induced intensity changes with an event camera, exploiting its microsecond latency and high dynamic range while recovering scan timing directly from the event activity, eliminating encoders and trigger wiring. A multi-window warping model then compensates distortions arising from non-constant scan velocity, including acceleration-induced temporal shear. We compare reconstructed spectral slices with a reference hyperspectral camera under low-light conditions and demonstrate a simple, low-cost, open hardware-firmware-software pipeline for accessible neuromorphic hyperspectral imaging.