@article {1450,
	title = {Alignment of cryo-electron tomography datasets.},
	journal = {Methods in Enzymology},
	volume = {482},
	year = {2010},
	month = {2010},
	pages = {343-67},
	abstract = {<p>Data acquisition of cryo-electron tomography (CET) samples described in previous chapters involves relatively imprecise mechanical motions: the tilt series has shifts, rotations, and several other distortions between projections. Alignment is the procedure of correcting for these effects in each image and requires the estimation of a projection model that describes how points from the sample in three-dimensions are projected to generate two-dimensional images. This estimation is enabled by finding corresponding common features between images. This chapter reviews several software packages that perform alignment and reconstruction tasks completely automatically (or with minimal user intervention) in two main scenarios: using gold fiducial markers as high contrast features or using relevant biological structures present in the image (marker-free). In particular, we emphasize the key decision points in the process that users should focus on in order to obtain high-resolution reconstructions.</p>
},
	keywords = {Computer-Assisted, Cryoelectron Microscopy, Electron Microscope Tomography, Image Processing},
	issn = {1557-7988},
	doi = {10.1016/S0076-6879(10)82014-2},
	author = {Amat, Fernando and Casta{\~n}o-Diez, Daniel and Lawrence, Albert and Moussavi, Farshid and Winkler, Hanspeter and Horowitz, Mark}
}
@article {1452,
	title = {Analysis of the intact surface layer of Caulobacter crescentus by cryo-electron tomography.},
	journal = {Journal of Bacteriology},
	volume = {192},
	year = {2010},
	month = {2010 Nov},
	pages = {5855-65},
	abstract = {<p>The surface layers (S layers) of those bacteria and archaea that elaborate these crystalline structures have been studied for 40 years. However, most structural analysis has been based on electron microscopy of negatively stained S-layer fragments separated from cells, which can introduce staining artifacts and allow rearrangement of structures prone to self-assemble. We present a quantitative analysis of the structure and organization of the S layer on intact growing cells of the Gram-negative bacterium Caulobacter crescentus using cryo-electron tomography (CET) and statistical image processing. Instead of the expected long-range order, we observed different regions with hexagonally organized subunits exhibiting short-range order and a broad distribution of periodicities. Also, areas of stacked double layers were found, and these increased in extent when the S-layer protein (RsaA) expression level was elevated by addition of multiple rsaA copies. Finally, we combined high-resolution amino acid residue-specific Nanogold labeling and subtomogram averaging of CET volumes to improve our understanding of the correlation between the linear protein sequence and the structure at the 2-nm level of resolution that is presently available. The results support the view that the U-shaped RsaA monomer predicted from negative-stain tomography proceeds from the N terminus at one vertex, corresponding to the axis of 3-fold symmetry, to the C terminus at the opposite vertex, which forms the prominent 6-fold symmetry axis. Such information will help future efforts to analyze subunit interactions and guide selection of internal sites for display of heterologous protein segments.</p>
},
	keywords = {Amino Acids, Bacterial Proteins, Caulobacter crescentus, Computer-Assisted, Cryoelectron Microscopy, Electron Microscope Tomography, Image Processing, Membrane Glycoproteins, Metal Nanoparticles, Staining and Labeling},
	issn = {1098-5530},
	doi = {10.1128/JB.00747-10},
	author = {Amat, Fernando and Comolli, Luis R and Nomellini, John F and Moussavi, Farshid and Downing, Kenneth H and Smit, John and Horowitz, Mark}
}
