Correlation-based methods of automatic particle detection in electron microscopy images with smoothing by anisotropic diffusion.

Two methods of correlation-based automatic particle detection in electron microscopy images are compared - computing a cross-correlation function or a local correlation coefficient vs. azimuthally averaged reference projections (either from a model or from experimental particle images). The ability of smoothing images by anisotropic diffusion to improve the performance of particle detection is also considered. Anisotropic diffusion is an effective method of preprocessing that enhances the edges and overall shape of particles while reducing noise. It is found that anisotropic diffusion improves particle detection by a local correlation coefficient when projections from a high-resolution reconstruction are used as references. When references from experimental particle images are used, a cross-correlation function shows a more marked improvement in particle detection in images smoothed by anisotropic diffusion.

Review: automatic particle detection in electron microscopy.

Advances in cryoEM and single-particle reconstruction have led to results at increasingly high resolutions. However, to sustain continuing improvements in resolution it will be necessary to increase the number of particles included in performing the reconstructions. Manual selection of particles, even when assisted by computer preselection, is a bottleneck that will become significant as single-particle reconstructions are scaled up to achieve near-atomic resolutions. This review describes various approaches that have been developed to address the problem of automatic particle selection. The principal conclusions that have been drawn from the results so far are: (1) cross-correlation with a reference image ("matched filtering") is an effective way to identify candidate particles, but it is inherently unable to avoid also selecting false particles; (2) false positives can be eliminated efficiently on the basis of estimates of particle size, density, and texture; (3) successful application of edge detection (or contouring) to particle identification may require improvements over currently available methods; and (4) neural network techniques, while computationally expensive, must also be investigated as a technology for eliminating false particles.

Cryo-electron microscopy of GDP-tubulin rings.

Rings of guanosine diphosphate (GDP)-tubulin formed in the presence of divalent cations have been studied using conventional negative stain and cryo-electron microscopy. The structure of such rings resembles that of depolymerizing microtubule ends and corresponds to an "unconstrained" conformation of tubulin in its GDP state. The use of cryo-techniques has allowed us to image the ring polymers free from dehydration and flattening artifacts. Preparations of frozen-hydrated GDP-tubulin rings are generally heterogeneous and contain a mixture of double, triple, and incomplete rings, as well as spirals and some rare single rings. Images of different polymer types can be identified and classified into groups that are then amenable for averaging and single particle reconstruction methods. Identifying the differences in tubulin structure, between straight and curve protofilaments, will be important to understand the molecular bases of dynamic instability in microtubules.

Direct methods in protein electron crystallography: the ab initio structure determination of two membrane protein structures in projection using maximum entropy and likelihood.

Using maximum entropy and likelihood, an ab initio phase determination was carried out in projection at ca 6-10 A resolution for two dissimilar membrane proteins: the Omp F porin from the outer membrane of E. coli (largely beta-sheet) and halorhodopsin (largely alpha-helix). Accurate phase information found for the most likely solutions enabled potential maps to be calculated that contained most of the essential structural details of these macromolecules without the need for any image-derived phases as a starting set for phase extension or the necessity to use envelopes or electron-density histograms. A comparison with earlier calculations using the Sayre-Hughes equation coupled with phase annealing and the Luzzati flatness criterion used as a figure of merit is made.

Structure of photosystem II in spinach thylakoid membranes: comparison of detergent-solubilized and native complexes by electron microscopy.

1. Electron microscopy of solubilized photosystem II (PSII) complexes and PSII in spinach thylakoid membranes has been carried out and the results have been compared with data obtained from ordered two-dimensional arrays of PSII. Membrane-bound PSII is roughly rectangular (17.6 nm x 14.1 nm) with a central stain cavity surrounded by four major lumenal domains. A comparison between the averaged projections of single (non-ordered) particles at 3.8 nm resolution and the Fourier projection maps obtained from ordered arrays (at 2-3 nm resolution) reveals close similarity and excludes the possibility that PSII observed in two-dimensional ordered arrays represents an unusual subpopulation. 2. After detergent solubilization, PSII adopts various aggregation states which were analysed by electron microscopy in conjunction with single-particle averaging. Two different types of projection of roughly rectangular shape and of dimensions 30 nm x 17 nm manifesting themselves as tetrameric sandwich structures have been revealed. This conclusion is supported by the presence of at least two axes of 2-fold rotational symmetry running perpendicular to each other and intersecting at the centre of the oligomer. Comparisons of the structures of detergent-solubilized and native PSII show that the oligomerization of PSII can be artificially induced by the process of membrane solubilization.

A current assessment of photosystem II structure.

This review covers the recent progress in the elucidation of the structure of photosystem II (PSII). Because much of the structural information for this membrane protein complex has been revealed by electron microscopy (EM), the review will also consider the specific technical and interpretation problems that arise with EM where they are of particular relevance to the structural data. Most recent reviews of photosystem II structure have concentrated on molecular studies of the PSII genes and on the likely roles of the subunits that they encode or they were mainly concerned with the biophysical data and fast absorption spectroscopy largely relating to electron transfer in various purified PSII preparations. In this review, we will focus on the approaches to the three-dimensional architecture of the complex and the lipid bilayer in which it is located (the thylakoid membrane) with special emphasis placed upon electron microscopical studies of PSII-containing thylakoid membranes. There are a few reports of 3D crystals of PSII and of associated X-ray diffraction measurements and although little structural information has so far been obtained from such studies (because of the lack of 3D crystals of sufficient quality), the prospects for such studies are also assessed.