2.2k citations · 2.5k across the 6 of their papers we have counts for
7 papers
At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
Ming-Yang Ho, Alberto Bartesaghi
Open-set 3D macromolecule detection in cryogenic electron tomography eliminates the need for target-specific model retraining. However, strict VRAM constraints prohibit processing…
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
Qinwen Huang, Ye Zhou, Xiaochen Du +4
Single-particle cryo-electron microscopy (cryo-EM) is an emerging imaging modality capable of visualizing proteins and macro-molecular complexes at near-atomic resolution. The low…
Unsupervised particle sorting for high-resolution single-particle cryo-EM
Ye Zhou, Amit Moscovich, Tamir Bendory +1
Single-particle cryo-Electron Microscopy (EM) has become a popular technique for determining the structure of challenging biomolecules that are inaccessible to other technologies.…
Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities
Tamir Bendory, Alberto Bartesaghi, Amit Singer
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 pro…
A Practical Guide to Multi-image Alignment
Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi +1
Multi-image alignment, bringing a group of images into common register, is an ubiquitous problem and the first step of many applications in a wide variety of domains. As a result,…
Fundamental Limits in Multi-image Alignment
Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi +1
The performance of multi-image alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions.…
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
Zhouchen Lin, Minming Chen, Yi Ma
This paper proposes scalable and fast algorithms for solving the Robust PCA problem, namely recovering a low-rank matrix with an unknown fraction of its entries being arbitrarily c…