Moment-based metrics for molecules computable from cryogenic electron microscopy images.

Autor:	Zhang A; Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA., Mickelin O; Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA., Kileel J; Department of Mathematics and Oden Institute, University of Texas at Austin, Austin, TX, USA., Verbeke EJ; Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA., Marshall NF; Department of Mathematics, Oregon State University, Corvallis, OR, USA., Gilles MA; Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA., Singer A; Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA.; Department of Mathematics, Princeton University, Princeton, NJ, USA.
Jazyk:	angličtina
Zdroj:	Biological imaging [Biol Imaging] 2024 Feb 23; Vol. 4, pp. e3. Date of Electronic Publication: 2024 Feb 23 (Print Publication: 2024).
DOI:	10.1017/S2633903X24000023
Abstrakt:	Single-particle cryogenic electron microscopy (cryo-EM) is an imaging technique capable of recovering the high-resolution three-dimensional (3D) structure of biological macromolecules from many noisy and randomly oriented projection images. One notable approach to 3D reconstruction, known as Kam's method, relies on the moments of the two-dimensional (2D) images. Inspired by Kam's method, we introduce a rotationally invariant metric between two molecular structures, which does not require 3D alignment. Further, we introduce a metric between a stack of projection images and a molecular structure, which is invariant to rotations and reflections and does not require performing 3D reconstruction. Additionally, the latter metric does not assume a uniform distribution of viewing angles. We demonstrate the uses of the new metrics on synthetic and experimental datasets, highlighting their ability to measure structural similarity. Competing Interests: The authors declare none. (© The Author(s) 2024.)
Databáze:	MEDLINE
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