Deep learning for data synthesis in fluorescence microscopy
- Abstract number
- 192
- Presentation Form
- Invited
- Corresponding Email
- [email protected]
- Session
- Session 5 - Super-resolution and Nanoscale Imaging
- Authors
- Susan Cox (1)
- Affiliations
-
1. King's College London
- Keywords
- Abstract text
In cryo-EM synthesis of information from multiple views is well established as a method for inferring molecular structure. We have developed a way to extend this technique to the mesoscale using fluorescence microscopy images of multiple views of a single structure as inputs, with deep learning accelerating the fit of the angle of each view. Using this approach we are able to perform completely free fits and reproduce nanoscale structure.
- References