biostudies-literatureUnknown4(1)Wen JComputational spectrometers enable low-cost, in-situ, and rapid spectral analysis, with applications in chemistry, biology, and environmental science. Traditional filter-based spectral encoding approaches typically use filter arrays, complicating the manufacturing process and hindering device consistency. Here we propose a computational spectrometer spanning visible to mid-infrared by combining the Single-Spinning Film Encoder (SSFE) with a deep learning-based reconstruction algorithm. Optimization through particle swarm optimization (PSO) allows for low-correlation and high-complexity spectral responses under different polarizations and spinning angles. The spectrometer demonstrates single-peak resolutions of 0.5 nm, 2 nm, 10 nm, and dual-peak resolutions of 3 nm, 6 nm, 20 nm for the visiCommunications engineering37https://www.ebi.ac.uk/biostudies/studies/S-EPMC11871129biostudies-literatureA computational spectrometer for the visible, near, and mid-infrared enabled by a single-spinning film encoder.PMC11871129Liu YWen JShao YZhang YShi WGao HFeng SYang CGao CShen WfalseA computational spectrometer for the visible, near, and mid-infrared enabled by a single-spinning film encoder.Computational spectrometers enable low-cost, in-situ, and rapid spectral analysis, with applications in chemistry, biology, and environmental science. Traditional filter-based spectral encoding approaches typically use filter arrays, complicating the manufacturing process and hindering device consistency. Here we propose a computational spectrometer spanning visible to mid-infrared by combining the Single-Spinning Film Encoder (SSFE) with a deep learning-based reconstruction algorithm. Optimization through particle swarm optimization (PSO) allows for low-correlation and high-complexity spectral responses under different polarizations and spinning angles. The spectrometer demonstrates single-peak resolutions of 0.5 nm, 2 nm, 10 nm, and dual-peak resolutions of 3 nm, 6 nm, 20 nm for the visi2025-01-01T00:00:00Z2025 Feb2025-04-04T00:48:07.992Z2025-04-04T00:48:07.992ZS-EPMC118711294002193710.1038/s44172-025-00379-5