Latest advances in image processing for single particle analysis by electron cryomicroscopy and challenges ahead J.L. Vilasb , N. Tabassuma , J. Motab , D. Maluendab , A. Jim´enez-Morenob , T. Majtnerb , J.M. Carazob , S.T. Actona , C.O.S. Sorzanob;c∗ aVirginia Image and Video Analysis, Univ. of Virginia, P.O.Box 400743, Charlottesville, VA 22904, U.S.A. bBiocomputing Unit, Centro Nacional de Biotecnolog´ıa(CNB-CSIC), Darwin, 3, Campus Universidad Aut´onoma,28049 Cantoblanco, Madrid, Spain cBioengineering Lab, Escuela Polit´ecnica Superior, Universidad San Pablo CEU, Campus Urb. Montepr´ıncipe s/n, 28668, Boadilla del Monte, Madrid, Spain Abstract Electron cryomicroscopy (cryo-EM) is essential for the study and functional un- derstanding of non-crystalline macromolecules such as proteins. These molecules cannot be imaged using X-ray crystallography or other popular methods. Cryo- EM has been successfully used to visualize molecules such as ribosomes, viruses, and ion channels, for example. Obtaining structural models of these at various conformational states leads to insight on how these molecules function. Recent advances in imaging technology have given cryo-EM a scientific rebirth. Because of imaging improvements, image processing and analysis of the resultant images have increased the resolution such that molecular structures can be resolved at the atomic level. Cryo-EM is ripe with stimulating image processing challenges. In this article, we will touch on the most essential in order to build an accurate structural three-dimensional model from noisy projection images. Traditional approaches, such as k-means clustering for class averaging, will be provided as background. With this review, however, we will highlight fresh approaches from new and varied angles for each image processing sub-problem, including a 3D reconstruction method for asymmetric molecules using just two projection ∗Corresponding author Email address:
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