Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Unsupervised learning and multipartite network models: a promising approach for understanding traditional medicine
The ultimate goal of precision medicine is to determine right treatment for right patients
based on precise diagnosis. To achieve this goal, correct stratification of patients using …
based on precise diagnosis. To achieve this goal, correct stratification of patients using …
DeepPicker: A deep learning approach for fully automated particle picking in cryo-EM
F Wang, H Gong, G Liu, M Li, C Yan, T Xia, X Li… - Journal of structural …, 2016 - Elsevier
Particle picking is a time-consuming step in single-particle analysis and often requires
significant interventions from users, which has become a bottleneck for future automated …
significant interventions from users, which has become a bottleneck for future automated …
[HTML][HTML] Advances in methods for atomic resolution macromolecular structure determination
Recent technical advances have dramatically increased the power and scope of structural
biology. New developments in high-resolution cryo-electron microscopy, serial X-ray …
biology. New developments in high-resolution cryo-electron microscopy, serial X-ray …
A pattern matching approach to the automatic selection of particles from low-contrast electron micrographs
V Abrishami, A Zaldívar-Peraza… - …, 2013 - academic.oup.com
Motivation: Structural information of macromolecular complexes provides key insights into
the way they carry out their biological functions. Achieving high-resolution structural details …
the way they carry out their biological functions. Achieving high-resolution structural details …
Cryogenic electron microscopy and single-particle analysis
About 20 years ago, the first three-dimensional (3D) reconstructions at subnanometer (< 10-
Å) resolution of an icosahedral virus assembly were obtained by cryogenic electron …
Å) resolution of an icosahedral virus assembly were obtained by cryogenic electron …
[HTML][HTML] AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images
Background An important task of macromolecular structure determination by cryo-electron
microscopy (cryo-EM) is the identification of single particles in micrographs (particle picking) …
microscopy (cryo-EM) is the identification of single particles in micrographs (particle picking) …
A fast method for particle picking in cryo-electron micrographs based on fast R-CNN
Y Xiao, G Yang - AIP conference proceedings, 2017 - pubs.aip.org
We propose a fast method to automatically pick protein particles in cryo-EM micrographs,
which is now completed manually in practice. Our method is based on Fast R-CNN, with …
which is now completed manually in practice. Our method is based on Fast R-CNN, with …
Automated particle picking for low-contrast macromolecules in cryo-electron microscopy
Cryo-electron microscopy is an increasingly popular tool for studying the structure and
dynamics of biological macromolecules at high resolution. A crucial step in automating …
dynamics of biological macromolecules at high resolution. A crucial step in automating …
Simulating cryo electron tomograms of crowded cell cytoplasm for assessment of automated particle picking
L Pei, M Xu, Z Frazier, F Alber - BMC bioinformatics, 2016 - Springer
Background Cryo-electron tomography is an important tool to study structures of
macromolecular complexes in close to native states. A whole cell cryo electron tomogram …
macromolecular complexes in close to native states. A whole cell cryo electron tomogram …