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 trained 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-color super-resolution imaging of structure-conserved semi-thin neuronal tissue and imaging of large samples. This improvement can be integrated into any single-molecule microscope and enables fast single-molecule super-resolution microscopy.
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| Author: | Kaarjel K. NarayanasamyORCiDGND, Johanna V. RahmORCiD, Siddharth Tourani, Mike HeilemannORCiDGND |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-729741 |
| DOI: | https://doi.org/10.1101/2021.11.20.469366 |
| Parent Title (English): | bioRxiv |
| Document Type: | Preprint |
| Language: | English |
| Date of Publication (online): | 2021/11/20 |
| Date of first Publication: | 2021/11/20 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2023/07/22 |
| Issue: | 2021.11.20.469366 |
| Page Number: | 19 |
| HeBIS-PPN: | 510563791 |
| Institutes: | Biochemie, Chemie und Pharmazie / Biochemie und Chemie |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie | |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |
