## A Survey of the Use of Iterative Reconstruction Algorithms in Electron Microscopy

- Carlos Oscar Sánchez Sorzano, Javier Vargas, +10 authors J. M. Carazo
- BioMed research international
- 2017

Highly Influenced

@inproceedings{Kim2007CryoelectronMS, title={Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory}, author={Min Woo Kim and Jiyoung Choi and Liu Yu and Kyung Eun Lee and Sung-Sik Han and Jong Chul Ye}, booktitle={Computational Imaging}, year={2007} }

- Published 2007 in Computational Imaging
DOI:10.1117/12.705008

Sparse object supports are often encountered in many imaging problems. For such sparse objects, recent theory of compressed sensing tells us that accurate reconstruction of objects are possible even from highly limited number of measurements drastically smaller than the Nyquist sampling limit by solving L1 minimization problem. This paper employs the compressed sensing theory for cryo-electron microscopy (cryo-EM) single particle reconstruction of virus particles. Cryo-EM single particle… CONTINUE READING