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@ARTICLE{Spiegel:202944,
author = {Spiegel, Michaela and Duraisamy, Amudha Kumari and
Schröder, Gunnar},
title = {{I}mproving the visualization of cryo-{EM} density
reconstructions},
journal = {Journal of structural biology},
volume = {191},
number = {2},
issn = {1047-8477},
address = {San Diego, Calif.},
publisher = {Elsevier},
reportid = {FZJ-2015-05067},
pages = {207 - 213},
year = {2015},
abstract = {Cryo-electron microscopy yields 3D density maps of
macromolecules from single-particle images, tomograms, or 2D
crystals. An optimal visualization of the density map is
important for its proper interpretation. We have developed a
method to improve the visualization of density maps by using
general statistical information about proteins for the
sharpening process. In particular, the packing density of
atoms is highly similar between different proteins, which
allows for building a pseudo-atomic model to approximate the
true mass distribution. From this model the radial structure
factor and density value histogram are estimated and applied
as constraints to the 3D reconstruction in reciprocal- and
real-space, respectively. Interestingly, similar
improvements are obtained when using the correct radial
structure factor and density value histogram from a crystal
structure. Thus, the estimated pseudo-atomic model yields a
sufficiently accurate mass distribution to optimally sharpen
a density map.},
cin = {ICS-6},
ddc = {540},
cid = {I:(DE-Juel1)ICS-6-20110106},
pnm = {551 - Functional Macromolecules and Complexes (POF3-551)},
pid = {G:(DE-HGF)POF3-551},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000359096700014},
doi = {10.1016/j.jsb.2015.06.007},
url = {https://juser.fz-juelich.de/record/202944},
}