Deep-Learning assisted Single-molecule Analysis
Deep-LASI (/dēp’lā-zē/) is a MATLAB program using Python libraries for the automatized analysis of multi-color single-molecule intensity trajectory. It provides tools for image processing, mapping and trace extraction, and comprises a collection of deep-learning methods to characterize single molecule data with up to 3 channels manually and in an automated fashion. Deep-LASI serves for:
- Automated analysis of single-color data
- Bleaching and blinking analysis
- Single-molecule Förster resonance energy transfer (smFRET) with 2 and 3 labels
- Accurate FRET determination for up to 3 dyes
- Automated trace extraction and sorting
- Manual and automated kinetic analysis
- Data representation via Histograms and TDPs
- ... and many more ...
- The software is hosted in a repository at Gitlab.
- A documentation and tutorial are available at ReadTheDocs.
- Test data sets are provided together with the publications at Zenodo.
If you use Deep-LASI in your own work, please don't forget to cite the following papers:
Wanninger S*, Asaditouei P*, Bohlen J, Salem CB, Tinnefeld P, Ploetz Eo, Lamb DCo
Deep-LASI: Deep-Learning Assisted, Single-molecule Imaging analysis of multi-color DNA Origami structures. Nat. Commun. 2023, 14:6564. [doi link]
Asaditouei P*, Salem CB*, Wanninger S*, Ploetz Eo, Lamb DCo
Deep-LASI, Single Molecule Data Analysis Software. (Under review).