Difference between revisions of "Proposals"
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| − | For a given synchrotron image one has to reconstruct an object of | + | For a given synchrotron image one has to reconstruct an object of nano-meter size. There given [https://en.wikipedia.org/wiki/Reciprocal_lattice reciprocal lattice] image. One has to train a neural net to reconstruct the real and the complex part of a sample object. |
Revision as of 15:59, 17 August 2020
List of the proposed projects
- 3D-image reconstruction for the lens-free microscopy
One has to reconstruct an image of a small biological object (of hundreds micrometers, like a eucaryotic cell). Its video comes from a device of a brand-new technology: the free lens microscopy. This project combines modelling of interference images and its Fourier transform and GANs, the generative and discriminative deep learning models.
- CASF: Comparison analysis scoring functions for docking problem
Pharmacological research is concentrated to constructing a molecule, a ligand, which docks a given protein. This research is expensive since it goes in-vitro. One has to propose a deep neural net to forecast the probability of docking.
- Atom-resolution synchrotron image reconstruction
For a given synchrotron image one has to reconstruct an object of nano-meter size. There given reciprocal lattice image. One has to train a neural net to reconstruct the real and the complex part of a sample object.