{"doi":"10.1101/2024.08.01.605857","title":"Nanoscale volumetric fluorescence imaging via photochemical sectioning","abstract":"Optical nanoscopy of intact biological specimens has been transformed by recent advancements in hydrogel-based tissue clearing and expansion, enabling the imaging of cellular and subcellular structures with molecular contrast. However, existing high-resolution fluorescence microscopes have limited imaging depth, which prevents the study of whole-mount specimens without physical sectioning. To address this challenge, we developed \"photochemical sectioning,\" a spatially precise, light-based sample sectioning process. By combining photochemical sectioning with volumetric lattice light-sheet imaging and petabyte-scale computation, we imaged and reconstructed axons and myelination sheaths across entire mouse olfactory bulbs at nanoscale resolution. An olfactory-bulb-wide analysis of myelinated and unmyelinated axons revealed distinctive patterns of axon degeneration and de-/dysmyelination in the neurodegenerative mouse, highlighting the potential for peta- to exabyte-scale super-resolution studies using this approach.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2024,"id":488806,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9632,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":495821,"name":"Xiongtao Ruan","orcid":"0000-0001-5322-3249","position":1,"is_corresponding":false},{"id":1012684,"name":"Gaoxiang Liu","orcid":"0000-0002-1001-0064","position":2,"is_corresponding":false},{"id":231063,"name":"Daniel E. Milkie","orcid":"0000-0002-3917-6965","position":3,"is_corresponding":false},{"id":1333371,"name":"Wenping Li","orcid":"0009-0004-4702-8702","position":4,"is_corresponding":false},{"id":62796,"name":"Eric Betzig","orcid":"0000-0002-4192-1274","position":5,"is_corresponding":false},{"id":640796,"name":"Srigokul Upadhyayula","orcid":"0000-0001-6727-5883","position":6,"is_corresponding":false},{"id":261770,"name":"Ruixuan Gao","orcid":"0000-0001-7137-2512","position":7,"is_corresponding":false},{"id":1333370,"name":"Wei Wang","orcid":"0009-0007-3019-2479","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T02:08:19.655720Z","pmid":"39149407","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":[]}