biostudies-literatureNarayanasamy KKDeutsche ForschungsgemeinschaftBaden-Württemberg Stiftung5047https://www.ebi.ac.uk/biostudies/studies/S-EPMC9420107biostudies-literatureUnknown13(1)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.Nature communicationsFast DNA-PAINT imaging using a deep neural network.PMC9420107GRK 2566Mult!NanoNarayanasamy KKTourani SRahm JVHeilemann MfalseFast DNA-PAINT imaging using a deep neural network.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.2022-01-01T00:00:00Z2022 Aug2025-04-04T13:46:50.603Z2025-04-04T13:46:50.603ZS-EPMC94201073603033810.1038/s41467-022-32626-0