An introduction to the mathematical problem of cryo-electron microscopy (cryo-EM) is given, along with an overview of ASPIRE, an open-source Python package for processing cryo-EM image data. ASPIRE uses unique Fourier-Bessel basis representations for images of cryo-EM particles. The challenge of representing these mathematical structures within the ASPIRE codebase was addressed by building an extensible class hierarchy using mixins
Overview of the cryo-EM data processing pipeline in RELION [48,49]. (A) Cryo-EM sample data collecte...
Low Energy Electron Microscopy (LEEM) is a specialized surface-sensitive microscopy technique utiliz...
Electron cryomicroscopy (cryoEM) is essential for the study and functional understanding of non-crys...
Cryo-electron microscopy (cryo-EM) is becoming a method of choice for describing native conformation...
(a) Data processing flow chart with particle distributions. The black and red boxes indicate the par...
UCSF pyem is a suite of Python programs for data analysis in electron microscopy of biological sampl...
Structural determination of molecular complexes by cryo-EM requires large, often complex processing ...
(a) Data processing flow chart with particle distributions. The black box indicates the particle cla...
Macromolecular assemblies, such as protein complexes, undergo continuous structural dynamics, includ...
International audienceImage processing in cryogenic electron tomography (cryoET) is currently at a s...
(a) Data processing flow chart with particle distributions. The black box indicates the particle cla...
Recent improvements in cryo-electron microscopy (cryo-EM) in the past few years are now allowing to ...
EM is a software package developed for image processing in the field of biological electron microsco...
Cryo-electron microscopy (cryo-EM) has been established as the leading imaging technique for structu...
Knowledge of the structure of biological specimens is crucial for understanding life. Cryo-electron ...
Overview of the cryo-EM data processing pipeline in RELION [48,49]. (A) Cryo-EM sample data collecte...
Low Energy Electron Microscopy (LEEM) is a specialized surface-sensitive microscopy technique utiliz...
Electron cryomicroscopy (cryoEM) is essential for the study and functional understanding of non-crys...
Cryo-electron microscopy (cryo-EM) is becoming a method of choice for describing native conformation...
(a) Data processing flow chart with particle distributions. The black and red boxes indicate the par...
UCSF pyem is a suite of Python programs for data analysis in electron microscopy of biological sampl...
Structural determination of molecular complexes by cryo-EM requires large, often complex processing ...
(a) Data processing flow chart with particle distributions. The black box indicates the particle cla...
Macromolecular assemblies, such as protein complexes, undergo continuous structural dynamics, includ...
International audienceImage processing in cryogenic electron tomography (cryoET) is currently at a s...
(a) Data processing flow chart with particle distributions. The black box indicates the particle cla...
Recent improvements in cryo-electron microscopy (cryo-EM) in the past few years are now allowing to ...
EM is a software package developed for image processing in the field of biological electron microsco...
Cryo-electron microscopy (cryo-EM) has been established as the leading imaging technique for structu...
Knowledge of the structure of biological specimens is crucial for understanding life. Cryo-electron ...
Overview of the cryo-EM data processing pipeline in RELION [48,49]. (A) Cryo-EM sample data collecte...
Low Energy Electron Microscopy (LEEM) is a specialized surface-sensitive microscopy technique utiliz...
Electron cryomicroscopy (cryoEM) is essential for the study and functional understanding of non-crys...