3D ab initio modeling in cryo-EM by autocorrelation analysis

Eitan Levin, Tamir Bendory, Nicolas Boumal, Joe Kileel, Amit Singer

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

Single-Particle Reconstruction (SPR) in Cryo-Electron Microscopy (cryo-EM) is the task of estimating the 3D structure of a molecule from a set of noisy 2D projections, taken from unknown viewing directions. Many algorithms for SPR start from an initial reference molecule, and alternate between refining the estimated viewing angles given the molecule, and refining the molecule given the viewing angles. This scheme is called iterative refinement. Reliance on an initial, user-chosen reference introduces model bias, and poor initialization can lead to slow convergence. Furthermore, since no ground truth is available for an unsolved molecule, it is difficult to validate the obtained results. This creates the need for high quality ab initio models that can be quickly obtained from experimental data with minimal priors, and which can also be used for validation. We propose a procedure to obtain such an ab initio model directly from raw data using Kam's autocorrelation method. Kam's method has been known since 1980, but it leads to an underdetermined system, with missing orthogonal matrices. Until now, this system has been solved only for special cases, such as highly symmetric molecules or molecules for which a homologous structure was already available. In this paper, we show that knowledge of just two clean projections is sufficient to guarantee a unique solution to the system. This system is solved by an optimization-based heuristic. For the first time, we are then able to obtain a low-resolution ab initio model of an asymmetric molecule directly from raw data, without 2D class averaging and without tilting. Numerical results are presented on both synthetic and experimental data.

שפה מקוריתאנגלית
כותר פרסום המארח2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
עמודים1569-1573
מספר עמודים5
מסת"ב (אלקטרוני)9781538636367
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 23 מאי 2018
פורסם באופן חיצוניכן
אירוע15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, ארצות הברית
משך הזמן: 4 אפר׳ 20187 אפר׳ 2018

סדרות פרסומים

שםProceedings - International Symposium on Biomedical Imaging
כרך2018-April

כנס

כנס15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
מדינה/אזורארצות הברית
עירWashington
תקופה4/04/187/04/18

ASJC Scopus subject areas

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  • ???subjectarea.asjc.2700.2741???

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