{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4(1)"],"submitter":["Wen J"],"pubmed_abstract":["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 visi"],"journal":["Communications engineering"],"pagination":["37"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11871129"],"repository":["biostudies-literature"],"pubmed_title":["A computational spectrometer for the visible, near, and mid-infrared enabled by a single-spinning film encoder."],"pmcid":["PMC11871129"],"pubmed_authors":["Liu Y","Wen J","Shao Y","Zhang Y","Shi W","Gao H","Feng S","Yang C","Gao C","Shen W"],"additional_accession":[]},"is_claimable":false,"name":"A computational spectrometer for the visible, near, and mid-infrared enabled by a single-spinning film encoder.","description":"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 visi","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Feb","modification":"2025-04-04T00:48:07.992Z","creation":"2025-04-04T00:48:07.992Z"},"accession":"S-EPMC11871129","cross_references":{"pubmed":["40021937"],"doi":["10.1038/s44172-025-00379-5"]}}