Upgrading Fiber‐Optic Spectrometers to Hyperspectral Imagers

Traditional fiber‐optic spectrometers, while featuring compact designs and high sensitivity, are constrained to single‐point spectral acquisition with limited spatial resolution, thereby restricting their broader applications. Although existing commercial spectral imaging systems can provide three‐dimensional spectral cubes, they often require complex optical configurations, resulting in high cost and operational complexity. To overcome these limitations, this paper proposes a fiber‐optic hyperspectral single‐pixel imager (FHSPI) based on single‐pixel computational imaging technology. By integrating a compound‐eye‐inspired fiber‐optic probe, the FHSPI significantly expands the imaging field of view (FOV) to 130°, compared with approximately 10° for a single fiber. The proposed system achieves hyperspectral image data cubes with a spectral resolution of 1 nm, and a spectral flux integration method is developed to enable high‐quality spectral imaging under low‐light conditions. Operating at a sub‐0.1% sampling rate (0.09%), the FHSPI enables rapid discrimination between authentic and artificial green leaves, with a theoretical spectral identification speed of up to 1250 spectra per second. This work demonstrates a cost‐effective fiber‐optic spectral imaging approach that addresses the data redundancy limitations of conventional hyperspectral imaging systems.