{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Narayanasamy KK"],"funding":["Deutsche Forschungsgemeinschaft","Baden-Württemberg Stiftung"],"pagination":["5047"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9420107"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(1)"],"pubmed_abstract":["DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) is a super-resolution technique with relatively easy-to-implement multi-target imaging. However, image acquisition is slow as sufficient statistical data has to be generated from spatio-temporally isolated single emitters. Here, we train the neural network (NN) DeepSTORM to predict fluorophore positions from high emitter density DNA-PAINT data. This achieves image acquisition in one minute. We demonstrate multi-colour super-resolution imaging of structure-conserved semi-thin neuronal tissue and imaging of large samples. This improvement can be integrated into any single-molecule imaging modality to enable fast single-molecule super-resolution microscopy."],"journal":["Nature communications"],"pubmed_title":["Fast DNA-PAINT imaging using a deep neural network."],"pmcid":["PMC9420107"],"funding_grant_id":["GRK 2566","Mult!Nano"],"pubmed_authors":["Narayanasamy KK","Tourani S","Rahm JV","Heilemann M"],"additional_accession":[]},"is_claimable":false,"name":"Fast DNA-PAINT imaging using a deep neural network.","description":"DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) is a super-resolution technique with relatively easy-to-implement multi-target imaging. However, image acquisition is slow as sufficient statistical data has to be generated from spatio-temporally isolated single emitters. Here, we train the neural network (NN) DeepSTORM to predict fluorophore positions from high emitter density DNA-PAINT data. This achieves image acquisition in one minute. We demonstrate multi-colour super-resolution imaging of structure-conserved semi-thin neuronal tissue and imaging of large samples. This improvement can be integrated into any single-molecule imaging modality to enable fast single-molecule super-resolution microscopy.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-04T13:46:50.603Z","creation":"2025-04-04T13:46:50.603Z"},"accession":"S-EPMC9420107","cross_references":{"pubmed":["36030338"],"doi":["10.1038/s41467-022-32626-0"]}}