A binary segmentation approach for boxing ribosome particles in cryo EM micrographs

Three-dimensional reconstruction of ribosome particles from electron micrographs requires selection of many single-particle images. Roughly 100,000 particles are required to achieve approximately 10 A resolution. Manual selection of particles, by visual observation of the micrographs on a computer screen, is recognized as a bottleneck in automated single-particle reconstruction. This paper describes an efficient approach for automated boxing of ribosome particles in micrographs. Use of a fast, anisotropic non-linear reaction-diffusion method to pre-process micrographs and rank-leveling to enhance the contrast between particles and the background, followed by binary and morphological segmentation constitute the core of this technique. Modifying the shape of the particles to facilitate segmentation of individual particles within clusters and boxing the isolated particles is successfully attempted. Tests on a limited number of micrographs have shown that over 80% success is achieved in automatic particle picking.     

Automated correlation of single particle tilt pairs for Random Conical Tilt and Orthogonal Tilt Reconstructions

One of the major methodological challenges in single particle electron microscopy is obtaining initial reconstructions which represent the structural heterogeneity of the dataset. Random Conical Tilt and Orthogonal Tilt Reconstruction techniques in combination with 3D alignment and classification can be used to obtain initial low-resolution reconstructions which represent the full range of structural heterogeneity of the dataset. In order to achieve statistical significance, however, a large number of 3D reconstructions, and, in turn, a large number of tilted image pairs are required. The extraction of single particle tilted image pairs from micrographs can be tedious and time-consuming, as it requires intensive user input even for semi-automated approaches. To overcome the bottleneck of manual selection of a large number of tilt pairs, we developed an algorithm for the correlation of single particle images from tilted image pairs in a fully automated and user-independent manner. The algorithm reliably correlates correct pairs even from noisy micrographs. We further demonstrate the applicability of the algorithm by using it to obtain initial references both from negative stain and unstained cryo datasets.     

High-throughput film-densitometry: an efficient approach to generate large data sets

A film-handling machine (robot) has been built which can, in conjunction with a commercially available film densitometer, exchange and digitize over 300 electron micrographs per day. Implementation of robotic film handling effectively eliminates the delay and tedium associated with digitizing images when data are initially recorded on photographic film. The modulation transfer function (MTF) of the commercially available densitometer is significantly worse than that of a high-end, scientific microdensitometer. Nevertheless, its signal-to-noise ratio (S/N) is quite excellent, allowing substantial restoration of the output to "near-to-perfect" performance. Due to the large area of the standard electron microscope film that can be digitized by the commercial densitometer (up to 10,000 x 13,680 pixels with an appropriately coded holder), automated film digitization offers a fast and inexpensive alternative to high-end CCD cameras as a means of acquiring large amounts of image data in electron microscopy.     

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

Three-dimensional reconstruction of large macromolecules like viruses at resolutions below 10 A requires a large set of projection images. Several automatic and semi-automatic particle detection algorithms have been developed along the years. Here we present a general technique designed to automatically identify the projection images of particles. The method is based on Markov random field modelling of the projected images and involves a pre-processing of electron micrographs followed by image segmentation and post-processing. The image is modelled as a coupling of two fields--a Markovian and a non-Markovian. The Markovian field represents the segmented image. The micrograph is the non-Markovian field. The image segmentation step involves an estimation of coupling parameters and the maximum á posteriori estimate of the realization of the Markovian field i.e, segmented image. Unlike most current methods, no bootstrapping with an initial selection of particles is required.     

Automated Identification of Filaments in Cryoelectron Microscopy Images

Since the foundation for the three-dimensional image reconstruction of helical objects from electron micrographs was laid more than 30 years ago, there have been sustained developments in specimen preparation, data acquisition, image analysis, and interpretation of results. However, the boxing of filaments in large numbers of images--one of the critical steps toward the reconstruction at high resolution--is still constrained by manual processing even though interactive interfaces have been built to aid the tedious and sometimes inaccurate boxing process. This article describes an accurate approach for automated detection of filamentous structures in low-contrast images acquired in defocus pairs using cryoelectron microscopy. The performance of the approach has been evaluated across various magnifications and at a series of defocus values using tobacco mosaic virus (TMV) preserved in vitreous ice as a test specimen. By integrating the proposed approach into our automated data acquisition and reconstruction system, we are now able to generate a three-dimensional map of TMV to approximately 10-A resolution within 24 h of inserting the specimen grid into the microscope.     

TMaCS: A hybrid template matching and classification system for partially-automated particle selection

Selection of particle images from electron micrographs presents a bottleneck in determining the structures of macromolecular assemblies by single particle electron cryomicroscopy (cryo-EM). The problem is particularly important when an experimentalist wants to improve the resolution of a 3D map by increasing by tens or hundreds of thousands of images the size of the dataset used for calculating the map. Although several existing methods for automatic particle image selection work well for large protein complexes that produce high-contrast images, it is well known in the cryo-EM community that small complexes that give low-contrast images are often refractory to existing automated particle image selection schemes. Here we develop a method for partially-automated particle image selection when an initial 3D map of the protein under investigation is already available. Candidate particle images are selected from micrographs by template matching with template images derived from projections of the existing 3D map. The candidate particle images are then used to train a support vector machine, which classifies the candidates as particle images or non-particle images. In a final step in the analysis, the selected particle images are subjected to projection matching against the initial 3D map, with the correlation coefficient between the particle image and the best matching map projection used to assess the reliability of the particle image. We show that this approach is able to rapidly select particle images from micrographs of a rotary ATPase, a type of membrane protein complex involved in many aspects of biology.     

Automated cryoelectron microscopy of "single particles" applied to the 26S proteasome

The 26S proteasome is a large molecular machine with a central role in intracellular protein degradation in eukaryotes. The 2.5 MDa complex, which is built from two copies each of more than 30 different subunits, is labile and prone to dissociation into subcomplexes. Hence it is difficult if not impossible, to obtain structurally homogeneous preparations and, as a consequence, it is very cumbersome to obtain large numbers of images of the holocomplex. In this communication, we describe an automated procedure for the acquisition of large data sets of cryoelectron micrographs. The application of this procedure to the 26S proteasome from Drosophila has allowed us to determine the three-dimensional structure of the complex to a resolution of 2.9 nm and the prospects for further improvements are good.     

三维电子显微学自动化数据采集的进展

生物三维电子显微学在过去几年取得了巨大的突破,一些具有高对称性的病毒颗粒获得了准原子分辨率的结构,非对称性的生物大分子及其复合体的结构分辨率也有快速的提高。而要获得高分辨率的结构,获取足够多的高质量电子显微照片是其中的一个关键因素。近年来,自动化数据采集技术在电子断层成像术和单颗粒方法中都取得了很大的进展。其广泛应用将使结构测定更加快速并使结构分辨率提高到更高的层次。     

Mallory's Phloxine B-Methylene Blue-Azure II Stain Emphasizes Elastin and Collagen Bundles in Epoxy Embedded Lung

A version of Mallory's phloxine-methylene blue-azure II technique suitable for large epoxy sections is described. Phloxine B (CI. 45410) and a yellow-green interference filter (546-548 nm transmission) combine to give high contrast monochrome images. By comparing light micrographs of lung parenchyma entirely unstained or stained only with phloxine B against electron micrographs of the same material, it is seen that phloxine B emphasizes essentially only elastin and collagen fiber bundles. The technique has produced images useful for investigating lung parenchyma architecture and micromechanics.     

Visualization of alpha-helices in tobacco mosaic virus by cryo-electron microscopy

We have used tobacco mosaic virus (TMV) as a test specimen, in order to develop techniques for the analysis of high-resolution structural detail in electron micrographs of biological assemblies with helical symmetry. It has previously been shown that internal details of protein structure can be visualized by processing electron micrographs of unstained specimens of extended two-dimensional crystalline arrays. However, the techniques should in principle be applicable to other periodic specimens, such as assemblies with helical symmetry. We show here that data to spacings better than 10 A can be retrieved from electron images of frozen hydrated TMV. The three-dimensional computed map agrees well with that derived from X-ray diffraction and shows the two pairs of alpha-helices forming the core of the coat subunit, the C alpha-helix and the viral RNA. The results demonstrate that it is possible to determine detailed internal structure in helical particles.     

Mallory's phloxine B-methylene blue-azure II stain emphasizes elastin and collagen bundles in epoxy embedded lung

A version of Mallory's phloxine-methylene blue-azure II technique suitable for large epoxy sections is described. Phloxine B (C.I. 45410) and a yellow-green interference filter (546-548 nm transmission) combine to give high contrast monochrome images. By comparing light micrographs of lung parenchyma entirely unstained or stained only with phloxine B against electron micrographs of the same material, it is seen that phloxine B emphasizes essentially only elastin and collagen fiber bundles. The technique has produced images useful for investigating lung parenchyma architecture and micromechanics.     

A novel procedure for preparation of submicron liposomes-lyophilization of oil-in-water emulsions

A novel liposome preparation method is described involving the freeze-drying of oil-in-water emulsions containing sucrose in the aqueous phase as a lyoprotectant and phospholipids in the oil as emulsifiers. The oil-in-water emulsions can be prepared by emulsification and then lyophilized to obtain dry products that will, upon rehydration, form unilamellar liposomes with a mean size of less than 200 nm, as proved by dynamic light scattering, atomic force micrographs, freeze-fracture electron micrographs, and small-angle X-ray scattering (SAXS). With or without combination with active loading, this method can be used successfully to encapsulate amphiphilic or lipophilic drugs into liposomes, although it cannot be applied to hydrophilic drugs. The lyophilized products are stable and can be rehydrated to form liposomes, even after a storage period of 10 months. Based on the encapsulation efficiency for hydrophilic drugs, as well as the scanning electron micrograph and SAXS of the freeze-dried products, a unique liposome formation mechanism is proposed.     

The non-selective cation-permeable channel TRPC3 is a tetrahedron with a cap on the large cytoplasmic end

TRPC3 plays important roles in neuronal differentiation and immune cell maturation by mediating the cationic current in response to phospholipase C activation, Ca2+ depletion, and diacylglycerol stimulation. Here, we purified the TRPC3 channel using a glycosylated tetramer and observed the structure using electron microscopy. Negatively stained specimens demonstrate homogeneous protein particles containing an internal cavity-like structure. These particle images were picked up by automated pick-up programs, aligned, and classified by the growing neural gas network method. Similarly oriented projections were averaged to decrease the signal-to-noise ratio. The averaged images progress from the top view to the side views, which are representative of their raw images. The top view confirmed the hypothesis of a four-domain structure, and the side view demonstrates a large cytoplasmic domain with a capped structure at the bottom, which is near a predicted locus of ion release. The total image of the protein is a blunt-edged trapezoid of 200 x 200 x 235 A. This large dimension of TRPC3 is also supported by the Stokes radius (92 A) obtained from gel filtration chromatography.     

FASTDEF: Fast defocus and astigmatism estimation for high-throughput transmission electron microscopy

In this work we present a fast and automated algorithm for estimating the contrast transfer function (CTF) of a transmission electron microscope. The approach is very suitable for High Throughput work because: (a) it does not require any initial defocus estimation, (b) it is almost an order of magnitude faster than existing approaches, (c) it opens the way to well-defined extensions to the estimation of higher order aberrations, at the same time that provides defocus and astigmatism estimations comparable in accuracy to well established methods, such as Xmipp and CTFFIND3 approaches. The new algorithm is based on obtaining the wrapped modulating phase of the power spectra density pattern by the use of a quadrature filter. This phase is further unwrapped in order to obtain the continuous and smooth absolute phase map; then a Zernike polynomial fitting is performed and the defocus and astigmatism parameters are determined. While the method does not require an initial estimation of the defocus parameters or any non-linear optimization procedure, these approaches can be used if further refinement is desired. Results of the CTF estimation method are presented for standard negative stained images, cryo-electron microscopy images in the absence of carbon support, as well as micrographs with only ice. Additionally, we have also tested the proposed method with micrographs acquired from tilted and untilted samples, obtaining good results. The algorithm is freely available as a part of the Xmipp package [http://xmipp.cnb.csic.es].     

A two step approach for semi-automated particle selection from low contrast cryo-electron micrographs

Over recent years advances in cryo-electron microscopy for the study of macromolecular structure have resulted in resolutions in the range 10-15 A becoming routine. With this drive for increased resolution comes the need to collect larger datasets, commonly >10,000 particle images. Manual selection of particles from micrographs is often difficult and with such large numbers of particles now involved it is also laborious and a common bottleneck. Automated methods do exist but are normally restricted to specific samples or data, i.e., spherical particles, no aggregation, high contrast, and low noise. A two step approach has been developed that remains general and can be applied to low contrast, high noise micrographs of small molecules. Specifically, application of the approach is presented using micrographs of Escherichia coli RNA polymerase, which due to low contrast and the relatively small size of the molecule prove difficult to pick manually. To test the automated approach, independent reconstructions of RNA polymerase were carried out using manual and automatically picked data. The two reconstructions are shown to be comparable and the reconstruction from the automatically picked dataset is at a higher resolution, due to an increase in the number of particles picked.     

Crystals of Lumbricus erythrocruorin

Lumbricus terrestris erythrocruorin, a 3.9 X 10(6) Mr respiratory protein, has been crystallized in four different forms. Despite the high molecular symmetry apparent from images in electron micrographs, only one crystal form expresses any molecular symmetry as crystallographic symmetry. The lattice parameters provide upper limits on the molecular dimensions of 267 A X 308 A X 172 A (1 A = 0.1 nm), which agree well with dimensions obtained from electron micrographs of negatively stained molecules. We have collected diffraction data to 5.5 A from type III crystals and have begun a structural analysis.     

Electron microscopy and computer image averaging of ice-embedded large ribosomal subunits from Escherichia coli

Electron micrographs of frozen-hydrated, large ribosomal subunits from Escherichia coli have been analyzed by computer image processing. Images of subunits in the so-called "crown" orientation were analyzed by correlation alignment procedures developed for negatively stained specimens. Averages of the aligned images showed both similarities and differences to averages determined for negatively stained specimens. The L1 ridge is more dense and stalk-like in frozen-hydrated as compared with negatively stained subunits, possibly because it is associated with ribosomal RNA. The results show that it should be feasible to determine the three-dimensional structure of the large ribosomal subunit from micrographs of individual, frozen-hydrated subunits that have been tilted in the electron microscope.     

A quantitative evaluation of Fourier components in transparent and opaque calf cornea

Fourier transform methods were applied to STEM (scanning transmission electron microscopy) images to detect and quantify the subtle differences between the structure of normal transparent calf cornea and opaque calf cornea. In order for a tissue to be transparent, it can scatter or absorb only a small amount of light. Light scattering is minimized when the principal Fourier components of the spatial fluctuations in the index of refraction have wavelengths which are small relative to the wavelength of light (Benedek, 1971). Corneal opacity was produced as a result of high intraocular pressure (100-150 mmHg) when liquid was injected into calf eyes (0-2 weeks old). Pressurization created large structural defects and slight disruptions in the organization of the collagen fibers. Although the fiber organization appeared similar in the micrographs of both opaque and transparent corneas, Fourier analysis of STEM images collected at 50K magnification identified statistically significant differences. Far fewer Fourier components with wavelengths in the light scattering range (200-1100 nm) were observed in the transparent corneas than in the pressurized corneas as predicted by Benedek's theory. It was of interest that corneas treated with 100% glycerol prior to pressurization remained transparent at high intraocular pressures, possibly because glycerol stabilized the structure of the corneas and maintained a uniform index of refraction across the corneal stroma. The results demonstrate the effectiveness of Fourier analysis in detection and quantification of slight changes in structure at the electron microscopic level.