Unsupervised deep learning methods for biological image reconstruction and enhancement: An overview from a signal processing perspective
Recently, deep learning (DL) approaches have become the main research frontier for
biological image reconstruction and enhancement problems thanks to their high …
biological image reconstruction and enhancement problems thanks to their high …
Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy
Single-particle cryo-electron microscopy (cryo-EM) is a technique that takes projection
images of biomolecules frozen at cryogenic temperatures. A major advantage of this …
images of biomolecules frozen at cryogenic temperatures. A major advantage of this …
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 …
Emerging themes in CryoEM─ Single particle analysis image processing
Cryo-electron microscopy (CryoEM) has become a vital technique in structural biology. It is
an interdisciplinary field that takes advantage of advances in biochemistry, physics, and …
an interdisciplinary field that takes advantage of advances in biochemistry, physics, and …
DeepHEMNMA: ResNet-based hybrid analysis of continuous conformational heterogeneity in cryo-EM single particle images
Single-particle cryo-electron microscopy (cryo-EM) is a technique for biomolecular structure
reconstruction from vitrified samples containing many copies of a biomolecular complex …
reconstruction from vitrified samples containing many copies of a biomolecular complex …
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications
Physics-informed generative modeling for inverse problems in computational imaging is a
fast-growing field encompassing a variety of methods and applications. Here, we review a …
fast-growing field encompassing a variety of methods and applications. Here, we review a …
Deep generative modeling for volume reconstruction in cryo-electron microscopy
Advances in cryo-electron microscopy (cryo-EM) for high-resolution imaging of biomolecules
in solution have provided new challenges and opportunities for algorithm development for …
in solution have provided new challenges and opportunities for algorithm development for …
Sensing theorems for unsupervised learning in linear inverse problems
Solving an ill-posed linear inverse problem requires knowledge about the underlying signal
model. In many applications, this model is a priori unknown and has to be learned from data …
model. In many applications, this model is a priori unknown and has to be learned from data …
CryoPoseNet: End-to-end simultaneous learning of single-particle orientation and 3D map reconstruction from cryo-electron microscopy data
Cryogenic electron microscopy (cryo-EM) provides im-ages from different copies of the same
biomolecule in ar-bitrary orientations. Here, we present an end-to-end unsu-pervised …
biomolecule in ar-bitrary orientations. Here, we present an end-to-end unsu-pervised …
Exploring the structural variability of dynamic biological complexes by single-particle cryo-electron microscopy
Biological macromolecules and assemblies precisely rearrange their atomic 3D structures to
execute cellular functions. Understanding the mechanisms by which these molecular …
execute cellular functions. Understanding the mechanisms by which these molecular …