Back to Search
Start Over
Deep Consensus, a deep learning-based approach for particle pruning in cryo-electron microscopy
- Source :
- IUCrJ, IUCrJ, Vol 5, Iss 6, Pp 854-865 (2018)
- Publication Year :
- 2018
- Publisher :
- International Union of Crystallography, 2018.
-
Abstract
- Deep Consensus performs particle pruning in cryo-EM image-processing workflows using a smart consensus.<br />Single-particle cryo-electron microscopy (cryo-EM) has recently become a mainstream technique for the structural determination of macromolecules. Typical cryo-EM workflows collect hundreds of thousands of single-particle projections from thousands of micrographs using particle-picking algorithms. However, the number of false positives selected by these algorithms is large, so that a number of different ‘cleaning steps’ are necessary to decrease the false-positive ratio. Most commonly employed techniques for the pruning of false-positive particles are time-consuming and require user intervention. In order to overcome these limitations, a deep learning-based algorithm named Deep Consensus is presented in this work. Deep Consensus works by computing a smart consensus over the output of different particle-picking algorithms, resulting in a set of particles with a lower false-positive ratio than the initial set obtained by the pickers. Deep Consensus is based on a deep convolutional neural network that is trained on a semi-automatically generated data set. The performance of Deep Consensus has been assessed on two well known experimental data sets, virtually eliminating user intervention for pruning, and enhances the reproducibility and objectivity of the whole process while achieving precision and recall figures above 90%.
- Subjects :
- 0301 basic medicine
Computer science
Image processing
computer.software_genre
Biochemistry
Convolutional neural network
Set (abstract data type)
03 medical and health sciences
particle pruning
False positive paradox
General Materials Science
Pruning (decision trees)
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Crystallography
three-dimensional reconstruction
business.industry
Deep learning
InformationSystems_INFORMATIONSYSTEMSAPPLICATIONS
deep learning
General Chemistry
Condensed Matter Physics
Research Papers
image processing
Data set
030104 developmental biology
QD901-999
cryo-EM
Data mining
Artificial intelligence
Precision and recall
business
computer
Subjects
Details
- Language :
- English
- ISSN :
- 20522525
- Volume :
- 5
- Issue :
- Pt 6
- Database :
- OpenAIRE
- Journal :
- IUCrJ
- Accession number :
- edsair.doi.dedup.....5fd72e6713f410ed7282178616572bd9