A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM. - Wikidata - awgldk - TriplyDB

A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM.

A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM.

http://www.wikidata.org/entity/Q37855138

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A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy Three-dimensional reconstruction of icosahedral particles from single micrographs in real time at the microscope Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2.Automatic cryo-EM particle selection for membrane proteins in spherical liposomes Reference-free particle selection enhanced with semi-supervised machine learning for cryo-electron microscopy.Automated particle picking for low-contrast macromolecules in cryo-electron microscopy.Semi-automated selection of cryo-EM particles in RELION-1.3.

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A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM.

http://www.wikidata.org/entity/Q37855138

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 21 March 2011

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

A clarification of the terms u ...... lection algorithms in cryo-EM.

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A clarification of the terms u ...... lection algorithms in cryo-EM.

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type

label

A clarification of the terms u ...... lection algorithms in cryo-EM.

@en

A clarification of the terms u ...... lection algorithms in cryo-EM.

@nl

prefLabel

A clarification of the terms u ...... lection algorithms in cryo-EM.

@en

A clarification of the terms u ...... lection algorithms in cryo-EM.

@nl

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J.JSB.2011.03.009

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Journal of Structural Biology

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A clarification of the terms u ...... lection algorithms in cryo-EM.

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Robert Langlois

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Historical background: Why is it important to improve automated particle selection methods?

Auto-accumulation method using simulated annealing enables fully automatic particle pickup completely free from a matching template or learning data.

Particle-verification for single-particle, reference-based reconstruction using multivariate data analysis and classification.

Application of template matching technique to particle detection in electron micrographs.

Robust filtering and particle picking in micrograph images towards 3D reconstruction of purified proteins with cryo-electron microscopy.

Automatic particle pickup method using a neural network has high accuracy by applying an initial weight derived from eigenimages: a new reference free method for single-particle analysis.

SLEUTH--a fast computer program for automatically detecting particles in electron microscope images.

Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization.

DoG Picker and TiltPicker: software tools to facilitate particle selection in single particle electron microscopy

Automatic particle selection from electron micrographs using machine learning techniques

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348-352

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scholarly article

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10.1016/J.JSB.2011.03.009

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3

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175

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2011-03-21T00:00:00Z

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50594130

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21420497

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cryogenic electron microscopy

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3164847

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