CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D mAP Reconstruction from Cryo-Electron Microscopy Data

Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner

ICCVW 2021 pp. 4049-4059

doi:10.1109/ICCVW54120.2021.00452 /iccvw/2021/nashed2021iccvw-cryoposenet/

Abstract

Cryogenic electron microscopy (cryo-EM) provides images from different copies of the same biomolecule in arbitrary orientations. Here, we present an end-to-end unsupervised approach that learns individual particle orientations directly from cryo-EM data while reconstructing the 3D map of the biomolecule following random initialization. The approach relies on an auto-encoder architecture where the latent space is explicitly interpreted as orientations used by the decoder to form an image according to the physical projection model. We evaluate our method on simulated data and show that it is able to reconstruct 3D particle maps from noisy- and CTF-corrupted 2D projection images of unknown particle orientations.

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Cite

Text

Nashed et al. "CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D mAP Reconstruction from Cryo-Electron Microscopy Data." IEEE/CVF International Conference on Computer Vision Workshops, 2021. doi:10.1109/ICCVW54120.2021.00452

Markdown

[Nashed et al. "CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D mAP Reconstruction from Cryo-Electron Microscopy Data." IEEE/CVF International Conference on Computer Vision Workshops, 2021.](https://mlanthology.org/iccvw/2021/nashed2021iccvw-cryoposenet/) doi:10.1109/ICCVW54120.2021.00452

BibTeX

@inproceedings{nashed2021iccvw-cryoposenet,
  title     = {{CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D mAP Reconstruction from Cryo-Electron Microscopy Data}},
  author    = {Nashed, Youssef S. G. and Poitevin, Frédéric and Gupta, Harshit and Woollard, Geoffrey and Kagan, Michael and Yoon, Chun Hong and Ratner, Daniel},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2021},
  pages     = {4049-4059},
  doi       = {10.1109/ICCVW54120.2021.00452},
  url       = {https://mlanthology.org/iccvw/2021/nashed2021iccvw-cryoposenet/}
}