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{{Short description|Method of analyzing transmission electron microscopy imagery}}
[[File:SingleParticleAnalysis.png|thumb|right|Single particle analysis segments and averages many particles from a sample, allowing for computer algorithms to process the individual images into a combined "representative" image. This allows for improvements in signal to noise, and can be combined with [[deconvolution]] to provide limited improvements to spatial resolution in the image.]]
'''Single particle analysis''' is a group of related computerized image processing techniques used to analyze images from [[Transmission electron microscope|transmission electron microscopy]] (TEM).<ref name="Frank">{{Cite book|first=Joachim |last=Frank |title=Three-dimensional electron microscopy of macromolecular assemblies: visualization of biological molecules in their native state |publisher=Oxford University Press |___location=Oxford |year=2006
==Techniques==
Single particle analysis can be done on both [[negative stain|negatively stained]] and vitreous ice-embedded [[
Images (micrographs)
In addition, single particle analysis can also be performed in an individual particle mode using an ICP-MS unit.
===Alignment and classification===
Biological samples, and especially samples embedded in thin [[vitreous ice]], are highly radiation sensitive, thus only low electron doses can be used to image the sample. This low dose, as well as variations in the metal stain used (if used)<ref>{{cite web |last1=Pandithage |first1=Ruwin |title=Brief Introduction to Contrasting for EM Sample Preparation |url=https://www.leica-microsystems.com/science-lab/brief-introduction-to-contrasting-for-em-sample-preparation/ |language=en |date=2 October 2013}}</ref> means images have high noise relative to the signal given by the particle being observed. By aligning several similar images to each other so they are in register and then averaging them, an image with higher [[signal
However, a micrograph often contains particles in multiple different orientations and/or conformations, and so to get more representative image averages, a method is required to group similar particle images together into multiple sets. This is normally carried out using one of several data analysis and image classification algorithms, such as [[Multivariate statistics|multi-variate statistical analysis]] and hierarchical ascendant classification, or [[k-means clustering|''k''-means clustering]].{{citation needed|date=January 2023}}
Often data sets of tens of thousands of particle images are used, and to reach an optimal solution an [[Iteration|iterative]] procedure of alignment and classification is used, whereby strong image averages produced by classification are used as reference images for a subsequent alignment of the whole data set.
===Image filtering===
Image filtering ([[band
===Contrast transfer function===
Due to the nature of image formation in the electron microscope, [[Bright-field microscopy|bright-field]] TEM images are obtained using significant [[Focus (optics)|underfocus]]. This, along with features inherent in the microscope's lens system, creates blurring of the collected images visible as a [[point spread function]]. The combined effects of the imaging conditions are known as the [[contrast transfer function]] (CTF), and can be approximated mathematically as a function in reciprocal space. Specialized image processing techniques such as phase flipping and amplitude correction /
===Three-dimensional reconstruction===
Transmission electron microscopy images are projections of the object showing the distribution of density through the object, similar to medical X-rays. By making use of the [[projection-slice theorem]] a three-dimensional reconstruction of the object can be generated by combining many images (2D projections) of the object taken from a range of viewing angles. Proteins in vitreous ice ideally adopt a random distribution of orientations (or viewing angles), allowing a fairly [[isotropic]] reconstruction if a large number of particle images are used. This contrasts with [[electron tomography]], where the viewing angles are limited due to the geometry of the sample/imaging set up, giving an [[Anisotropy|anisotropic]] reconstruction. [[Filtered back projection]] is a commonly used method of generating 3D reconstructions in single particle analysis, although many alternative algorithms exist.<ref name="Dynamics" />
Before a reconstruction can be made, the orientation of the object in each image needs to be estimated. Several methods have been developed to work out the relative [[Euler angles]] of each image. Some are based on common lines (common 1D projections and [[radon transform|sinograms]]), others use iterative projection matching algorithms. The latter works by beginning with a simple, low resolution 3D starting model and compares the experimental images to projections of the model and creates a new 3D to bootstrap towards a solution.
Methods are also available for making 3D reconstructions of [[Helix|helical]] samples (such as [[tobacco mosaic virus]]), taking advantage of the inherent [[Rotational symmetry|helical symmetry]]. Both real space methods (treating sections of the helix as single particles) and reciprocal space methods (using diffraction patterns) can be used for these samples.
===Tilt methods===
The specimen stage of the microscope can be tilted (typically along a single axis), allowing the single particle technique known as [[wikibooks:Three Dimensional Electron Microscopy/Initial model#Random Conical Tilt|random conical tilt.]]<ref name="RCT">{{Cite journal|vauthors=Radermacher M, Wagenknecht T, Verschoor A, Frank J |title=Three-dimensional reconstruction from a single-exposure, random conical tilt series applied to the 50S ribosomal subunit of Escherichia coli |journal=Journal of Microscopy |volume=146 |issue=Pt 2 |pages=113–36 |date=May 1987 |pmid=3302267 |doi=10.1111/j.1365-2818.1987.tb01333.x|doi-access=free }}</ref> An area of the specimen is imaged at both zero and at high angle (~60-70 degrees) tilts, or in the case of the related method of orthogonal tilt reconstruction,<ref>{{cite book |last1=Leschziner |first1=A |chapter=The Orthogonal Tilt Reconstruction Method |title=Cryo-EM, Part B: 3-D Reconstruction |series=Methods in Enzymology |date=2010 |volume=482 |pages=237–62 |doi=10.1016/S0076-6879(10)82010-5 |pmid=20888964|isbn=9780123849915 }}</ref> +45 and
3D reconstructions from random conical tilt suffer from missing information resulting from a restricted range of orientations. Known as the missing cone<ref>{{cite web |url=https://www.c-cina.org/research/algorithms/missing-cone/}}</ref> (due to the shape in reciprocal space), this causes distortions in the 3D maps. However, the missing cone problem can often be overcome by combining several tilt reconstructions. Tilt methods are best suited to [[Negative stain|negatively stained]] samples, and can be used for particles that adsorb to the carbon support film in preferred orientations. The phenomenon known as charging or beam-induced movement<ref>{{cite journal |last1=Li |first1=Xueming |last2=Mooney |first2=Paul |last3=Zheng |first3=Shawn |last4=Booth |first4=Christopher R. |last5=Braunfeld |first5=Michael B. |last6=Gubbens |first6=Sander |last7=Agard |first7=David A. |last8=Cheng |first8=Yifan |title=Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM |journal=Nature Methods |date=June 2013 |volume=10 |issue=6 |pages=584–590 |doi=10.1038/nmeth.2472 |pmid=23644547 |language=en |issn=1548-7105|pmc=3684049 }}</ref> makes collecting high-tilt images of samples in vitreous ice challenging.
===Map visualization and fitting===
Various software [[Software tools for molecular microscopy|programs]] are available that allow viewing the 3D maps. These often enable the user to manually dock in protein coordinates (structures from
For higher-resolution structures, it is possible to build the macromolecule directly, without prior structural knowledge from other methods. Computer algorithms have also been developed for this task.<ref>{{cite journal |doi=10.1038/s41586-024-07215-4 |biorxiv=10.1101/2023.05.16.541002 |title=Automated model building and protein identification in cryo-EM maps |date=2024 |last1=Jamali |first1=Kiarash |last2=Käll |first2=Lukas |last3=Zhang |first3=Rui |last4=Brown |first4=Alan |last5=Kimanius |first5=Dari |last6=Scheres |first6=Sjors H. W. |journal=Nature |volume=628 |issue=8007 |pages=450–457 |pmid=38408488 |pmc=10245678 |bibcode=2024Natur.628..450J }}</ref>
As high-resolution cryo-EM models are relative new, quality control tools are not as plentiful as it is for X-ray models. Nevertheless, cryo-EM ("real space") versions of the [[difference density map]],<ref>{{cite journal |last1=Yamashita |first1=Keitaro |last2=Palmer |first2=Colin M. |last3=Burnley |first3=Tom |last4=Murshudov |first4=Garib N. |title=Cryo-EM single-particle structure refinement and map calculation using Servalcat |journal=Acta Crystallographica Section D |date=1 October 2021 |volume=77 |issue=10 |pages=1282–1291 |doi=10.1107/S2059798321009475 |pmid=34605431 |pmc=8489229 |bibcode=2021AcCrD..77.1282Y |doi-access=free |quote=}}</ref> cross-validation using a "free" map (comparable to the use of a free [[R-factor]]),<ref>{{cite journal |last1=Falkner |first1=B |last2=Schröder |first2=GF |title=Cross-validation in cryo-EM-based structural modeling. |journal=Proceedings of the National Academy of Sciences of the United States of America |date=28 May 2013 |volume=110 |issue=22 |pages=8930–5 |doi=10.1073/pnas.1119041110 |pmid=23674685|pmc=3670386 |bibcode=2013PNAS..110.8930F |doi-access=free }}</ref><ref>{{cite journal |last1=Beckers |first1=Maximilian |last2=Mann |first2=Daniel |last3=Sachse |first3=Carsten |title=Structural interpretation of cryo-EM image reconstructions |journal=Progress in Biophysics and Molecular Biology |date=March 2021 |volume=160 |pages=26–36 |doi=10.1016/j.pbiomolbio.2020.07.004 |pmid=32735944 |doi-access=free}}</ref> and various [[structure validation]] tools have begun to appear.
===Single particle ICP-MS===
Single particle-induced coupled plasma-mass spectroscopy (SP-ICP-MS) is used in several areas where there is the possibility of detecting and quantifying suspended particles in samples of environmental fluids, assessing their migration, assessing the size of particles and their distribution, and also determining their stability in a given environment. SP-ICP-MS was designed for particle suspensions in 2000 by Claude Degueldre. He first tested this new methodology at the Forel Institute of the University of Geneva and presented this new analytical approach at the 'Colloid 2oo2' symposium during the spring 2002 meeting of the EMRS, and in the proceedings in 2003.<ref>{{cite journal | doi=10.1016/S0927-7757(02)00568-X | title=Colloid analysis by single particle inductively coupled plasma-mass spectroscopy: A feasibility study | date=2003 | last1=Degueldre | first1=C. | last2=Favarger | first2=P.-Y. | journal=Colloids and Surfaces A: Physicochemical and Engineering Aspects | volume=217 | issue=1–3 | pages=137–142 }}</ref> This study presents the theory of SP ICP-MS and the results of tests carried out on clay particles (montmorillonite) as well as other suspensions of colloids. This method was then tested on thorium dioxide nanoparticles by Degueldre & Favarger (2004),<ref>{{cite journal | doi=10.1016/j.talanta.2003.10.016 | title=Thorium colloid analysis by single particle inductively coupled plasma-mass spectrometry | date=2004 | last1=Degueldre | first1=C. | journal=Talanta | volume=62 | issue=5 | pages=1051–1054 | pmid=18969397 }}</ref> zirconium dioxide by Degueldre et al (2004)<ref>{{cite journal | doi=10.1016/j.aca.2004.04.015 | title=Zirconia colloid analysis by single particle inductively coupled plasma–mass spectrometry | date=2004 | last1=Degueldre | first1=C. | last2=Favarger | first2=P.-Y. | last3=Bitea | first3=C. | journal=Analytica Chimica Acta | volume=518 | issue=1–2 | pages=137–142 | bibcode=2004AcAC..518..137D }}</ref> and gold nanoparticles, which are used as a substrate in nanopharmacy, and published by Degueldre et al (2006).<ref>{{cite journal | doi=10.1016/j.aca.2005.09.021 | title=Gold colloid analysis by inductively coupled plasma-mass spectrometry in a single particle mode | date=2006 | last1=Degueldre | first1=C. | last2=Favarger | first2=P.-Y. | last3=Wold | first3=S. | journal=Analytica Chimica Acta | volume=555 | issue=2 | pages=263–268 | bibcode=2006AcAC..555..263D }}</ref> Subsequently, the study of uranium dioxide nano- and micro-particles gave rise to a detailed publication, Degueldre et al (2006).<ref>{{cite journal | doi=10.1016/j.talanta.2005.05.006 | title=Uranium colloid analysis by single particle inductively coupled plasma-mass spectrometry | date=2006 | last1=Degueldre | first1=C. | last2=Favarger | first2=P.-Y. | last3=Rossé | first3=R. | last4=Wold | first4=S. | journal=Talanta | volume=68 | issue=3 | pages=623–628 | pmid=18970366 }}</ref> Since 2010 the interest for SP ICP-MS has exploded.
==Examples==
*
* ''[[Methanococcus maripaludis]]'' chaperonin,<ref>Japanese Protein databank http://www.pdbj.org/emnavi/emnavi_movie.php?id=5137</ref> reconstructed to 0.43 nanometer resolution.<ref name="Zhang J">{{Cite journal |vauthors=Zhang J, Baker ML, Schröder GF, etal |title=Mechanism of folding chamber closure in a group II chaperonin |journal=Nature |volume=463 |issue=7279 |pages=379–83 |date=January 2010 |pmid=20090755 |pmc=2834796 |doi=10.1038/nature08701|bibcode=2010Natur.463..379Z }}</ref> This bacterial protein complex is a machine for folding other proteins, which get trapped within the shell.
* [[Fatty acid synthase]]<ref>Japanese Protein databank http://www.pdbj.org/emnavi/emnavi_movie.php?id=1623</ref> from yeast at 0.59 nanometer resolution.<ref name="Gipson">{{Cite journal|vauthors=Gipson P, Mills DJ, Wouts R, Grininger M, Vonck J, Kühlbrandt W |title=Direct structural insight into the substrate-shuttling mechanism of yeast fatty acid synthase by electron cryomicroscopy |journal=Proceedings of the National Academy of Sciences of the United States of America |volume=107 |issue=20 |pages=9164–9 |date=May 2010 |pmid=20231485 |pmc=2889056 |doi=10.1073/pnas.0913547107|bibcode=2010PNAS..107.9164G |doi-access=free }}</ref> This huge enzyme complex is responsible for building the long chain fatty acids essential for cellular life.
* A 0.33 nanometer reconstruction of [[Golden shiner virus|Aquareovirus]].<ref>Japanese Protein databank http://www.pdbj.org/emnavi/emnavi_movie.php?id=5160</ref><ref name="Zhang X">{{Cite journal|vauthors=Zhang X, Jin L, Fang Q, Hui WH, Zhou ZH |title=3.3 A cryo-EM structure of a nonenveloped virus reveals a priming mechanism for cell entry |journal=Cell |volume=141 |issue=3 |pages=472–82 |date=April 2010 |pmid=20398923 |doi=10.1016/j.cell.2010.03.041 |pmc=3422562}}</ref> These viruses infect fish and other aquatic animals. The reconstruction has high enough resolution to have amino acid side chain densities easily visible.
==Primary database==
* [http://www.emdatabank.org/index.html EM Data Bank] {{Webarchive|url=https://web.archive.org/web/20190205053534/http://www.emdatabank.org/index.html |date=2019-02-05 }} ([[EM Data Bank]])
==References==
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