{"doi":"10.1364/optica.440074","title":"Snapshot hyperspectral light field tomography","abstract":"We present snapshot hyperspectral light field tomography (Hyper-LIFT), a highly efficient method in recording a 5D ( <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>x</mml:mi></mml:math> , <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>y</mml:mi></mml:math> , spatial coordinates; <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>θ</mml:mi></mml:math> , <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>φ</mml:mi></mml:math> , angular coordinates; <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>λ</mml:mi></mml:math> , wavelength) plenoptic function. Using a Dove prism array and a cylindrical lens array, we simultaneously acquire multi-angled 1D en face projections of the object like those in standard sparse-view computed tomography. We further disperse those projections and measure the spectra in parallel using a 2D image sensor. Within a single snapshot, the resultant system can capture a 5D data cube with <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mn>270</mml:mn></mml:mrow></mml:mrow><mml:mo>×</mml:mo><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mn>270</mml:mn></mml:mrow></mml:mrow><mml:mo>×</mml:mo><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mn>4</mml:mn></mml:mrow></mml:mrow><mml:mo>×</mml:mo><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mn>4</mml:mn></mml:mrow></mml:mrow><mml:mo>×</mml:mo><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mn>360</mml:mn></mml:mrow></mml:mrow></mml:math> voxels. We demonstrated the performance of Hyper-LIFT in imaging spectral volumetric scenes.","journal":"Optica","year":2021,"id":166431,"datarank":1.0992514780587939,"base_score":3.5553480614894135,"endowment":3.5553480614894135,"self_citation_contribution":0.5333022092234121,"citation_network_contribution":0.5659492688353818,"self_endowment_contribution":0.5333022092234121,"citer_contribution":0.5659492688353818,"corpus_percentile":null,"corpus_rank":null,"citation_count":34,"citer_count":25,"citers_with_citation_signal":20,"citers_with_endowment":20,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9519,"is_data_producer":true,"deposit_databanks":{"figshare":["10.6084/m9.figshare.16918231"]},"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":481624,"name":"Jongchan Park","orcid":"0000-0002-0999-6778","position":1,"is_corresponding":false},{"id":497303,"name":"Yayao Ma","orcid":"0000-0002-5078-9295","position":2,"is_corresponding":false},{"id":227830,"name":"Liang Gao","orcid":"0000-0002-4296-5586","position":3,"is_corresponding":false},{"id":370780,"name":"Qi Cui","orcid":"0000-0002-5912-3625","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-18T23:45:49.644768Z","pmid":"35720735","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}