{"doi":"10.1101/2020.08.27.266999","title":"3D Interferometric Lattice Light-Sheet Imaging","abstract":"Understanding cellular structure and function requires live-cell imaging with high spatio-temporal resolution and high detection sensitivity. Direct visualization of molecular processes using single-molecule/super-resolution techniques has thus been transformative. However, extracting the highest-resolution 4D information possible from weak and dynamic fluorescence signals in live cells remains challenging. For example, some of the highest spatial resolution methods, e.g. interferometric (4Pi) approaches 1-6 can be slow, require high peak excitation intensities that accelerate photobleaching or suffer from increased out-of-focus background. Selective-plane illumination (SPIM) 7-12 reduces background, but most implementations typically feature modest spatial, especially axial, resolution. Here we develop 3D interferometric lattice light-sheet (3D-iLLS) imaging, a technique that overcomes many of these limitations. 3D-iLLS provides, by virtue of SPIM, low light levels and photobleaching, while providing increased background suppression and significantly improved volumetric imaging/sectioning capabilities through 4Pi interferometry. We demonstrate 3D-iLLS with axial resolution and single-particle localization precision down to <100nm (FWHM) and <10nm (1σ) respectively. 3D-iLLS paves the way for a fuller elucidation of sub-cellular phenomena by enhanced 4D resolution and SNR live imaging.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":128371,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9489,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":579020,"name":"Guanshi Wang","orcid":null,"position":1,"is_corresponding":false},{"id":578713,"name":"Jieru Li","orcid":"0000-0003-1890-975X","position":2,"is_corresponding":false},{"id":369780,"name":"Alexandros Pertsinidis","orcid":"0000-0001-7855-2794","position":3,"is_corresponding":false},{"id":578712,"name":"Bin Cao","orcid":"0000-0002-0267-8486","position":0,"is_corresponding":true}],"reference_count":18,"raw_metadata":null,"created_at":"2026-07-18T23:15:38.879956Z","pmid":null,"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":[]}