Fast 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.
Download full text files
Additional Services
| Author: | Kaarjel K. NarayanasamyORCiDGND, Johanna V. RahmORCiD, Siddharth Tourani, Mike HeilemannORCiDGND |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-742279 |
| DOI: | https://doi.org/10.1038/s41467-022-32626-0 |
| ISSN: | 2041-1723 |
| Parent Title (German): | Nature Communications |
| Publisher: | Nature Publishing Group UK |
| Place of publication: | London |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2022/08/27 |
| Date of first Publication: | 2022/08/27 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2023/08/03 |
| Volume: | 13 |
| Issue: | 5047 |
| Page Number: | 11 |
| HeBIS-PPN: | 511237049 |
| Institutes: | Biochemie, Chemie und Pharmazie |
| Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Creative Commons - Namensnennung 4.0 |
