Use of nonlinear mapping in multivariate image analysis of molecule projections

A nonlinear mapping algorithm has been designed for the statistical analysis of sets of images in electron microscopy. The algorithm is appropriate in situations where it is not isolated features that determine the clustering or trends in the data set but a combination of several simultaneously chan...

Full description

Saved in:
Bibliographic Details
Published in:Ultramicroscopy 1985, Vol.17 (2), p.117-126
Main Authors: Radermacher, Michael, Frank, Joachin
Format: Article
Language:English
Subjects:
Animals
Electron, positron and ion microscopes, electron diffractometers and related techniques
Exact sciences and technology
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Mathematics
Microscopy, Electron - methods
Models, Molecular
Molecular Conformation - radiation effects
Physics
Ribosomes - analysis
Statistics as Topic
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A nonlinear mapping algorithm has been designed for the statistical analysis of sets of images in electron microscopy. The algorithm is appropriate in situations where it is not isolated features that determine the clustering or trends in the data set but a combination of several simultaneously changing features. The combination of the nonlinear mapping algorithm with correspondence analysis offers a way of ordering a set of images according to the variations of a single feature, as well as according to the combined variation of several independent features. The application of the combined algorithms ranges from image selection for averaging procedures to the sorting of images, that inherently form a tilt series. These sorted images then can be used for the three-dimensional reconstruction of macromolecules.
ISSN:0304-3991
1879-2723
DOI:10.1016/0304-3991(85)90004-X