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Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities
In recent years, an abundance of new molecular structures have been elucidated using cryo-
electron microscopy (cryo-EM), largely due to advances in hardware technology and data …
electron microscopy (cryo-EM), largely due to advances in hardware technology and data …
Methods for cryo-EM single particle reconstruction of macromolecules having continuous heterogeneity
Macromolecules change their shape (conformation) in the process of carrying out their
functions. The imaging by cryo-electron microscopy of rapidly-frozen, individual copies of …
functions. The imaging by cryo-electron microscopy of rapidly-frozen, individual copies of …
CryoGAN: A new reconstruction paradigm for single-particle cryo-EM via deep adversarial learning
We present CryoGAN, a new paradigm for single-particle cryo-electron microscopy (cryo-
EM) reconstruction based on unsupervised deep adversarial learning. In single-particle cryo …
EM) reconstruction based on unsupervised deep adversarial learning. In single-particle cryo …
The sample complexity of sparse multireference alignment and single-particle cryo-electron microscopy
Multireference alignment (MRA) is the problem of recovering a signal from its multiple noisy
copies, each acted upon by a random group element. MRA is mainly motivated by single …
copies, each acted upon by a random group element. MRA is mainly motivated by single …
Dihedral multi-reference alignment
We study the dihedral multi-reference alignment problem of estimating the orbit of a signal
from multiple noisy observations of the signal, acted on by random elements of the dihedral …
from multiple noisy observations of the signal, acted on by random elements of the dihedral …
Toward single particle reconstruction without particle picking: Breaking the detection limit
Single-particle cryo-electron microscopy (cryo-EM) has recently joined X-ray crystallography
and NMR spectroscopy as a high-resolution structural method to resolve biological …
and NMR spectroscopy as a high-resolution structural method to resolve biological …
Likelihood maximization and moment matching in low SNR Gaussian mixture models
We derive an asymptotic expansion for the log‐likelihood of Gaussian mixture models
(GMMs) with equal covariance matrices in the low signal‐to‐noise regime. The expansion …
(GMMs) with equal covariance matrices in the low signal‐to‐noise regime. The expansion …
Wilson statistics: derivation, generalization and applications to electron cryomicroscopy
A Singer - Foundations of Crystallography, 2021 - journals.iucr.org
The power spectrum of proteins at high frequencies is remarkably well described by the flat
Wilson statistics. Wilson statistics therefore plays a significant role in X-ray crystallography …
Wilson statistics. Wilson statistics therefore plays a significant role in X-ray crystallography …
Heterogeneous multireference alignment for images with application to 2D classification in single particle reconstruction
Motivated by the task of 2D classification in single particle reconstruction by cryo-electron
microscopy (cryo-EM), we consider the problem of heterogeneous multireference alignment …
microscopy (cryo-EM), we consider the problem of heterogeneous multireference alignment …
Blind phaseless short-time Fourier transform recovery
The problem of recovering a pair of signals from their blind phaseless short-time Fourier
transform measurements arises in several important phase retrieval applications, including …
transform measurements arises in several important phase retrieval applications, including …