DRPnet: automated particle picking in cryo-electron micrographs using deep regression

DRPnet: automated particle picking in cryo-electron micrographs using deep regression

Background: Identification and selection of protein particles in cryo-electron micrographs is an important step in single particle analysis. In this study, we developed a deep learning-based particle picking network to automatically detect particle centers from cryoEM micrographs. This is a challeng...

Full description

Bibliographic Details
Main Authors: Bunyak, F. (Author), Ersoy, I. (Author), Gotberg, J. (Author), Nguyen, N.P (Author), White, T.A (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
3D reconstruction
Angular orientation
Automated detection
Autopicking
Convolution
Convolutional neural network
Convolutional neural networks
Cryo-electron micrographs
cryoelectron microscopy
Cryoelectron Microscopy
CryoEM
Deep learning
Different particle sizes
electron
Electron microscopy
Electrons
Evaluation metrics
image processing
Image Processing, Computer-Assisted
Image reconstruction
Image segmentation
Imaging, Three-Dimensional
Low signal-to-noise ratio
Neural Networks, Computer
Particle picking
Particle size
Particle size analysis
Performance metrics
Probability density function
protein
Proteins
Regression
regression analysis
Regression Analysis
signal noise ratio
Signal to noise ratio
Signal-To-Noise Ratio
Single particle analysis
Single particle reconstruction
Single-particle analysis
three-dimensional imaging
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items