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@ARTICLE{Sommerhage:62887,
author = {Sommerhage, F. and Helpenstein, R. and Rauf, A. and Wrobel,
G. and Offenhäusser, A. and Ingebrandt, S.},
title = {{M}embrane allocation profiling: {A} method to characterize
three-dimensional cell shape and attachment based on surface
reconstruction},
journal = {Biomaterials},
volume = {29},
issn = {0142-9612},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {PreJuSER-62887},
pages = {3927 - 3935},
year = {2008},
note = {Record converted from VDB: 12.11.2012},
abstract = {Three-dimensional surface reconstructions from high
resolution image stacks of biological specimens, observed by
confocal microscopy, have changed the perspective of
morphological understanding. In the field of cell-cell or
cell-substrate interfaces, combining these two techniques
leads to new insights yet also creates a tremendous amount
of data. In this article, we present a technique to reduce
large, multidimensional data sets from confocal microscopy
into one single curve: a membrane allocation profile.
Reconstructed cells are represented in a three-dimensional
surface from image sections of individual cells. We
virtually cut segments of the reconstructed cell membrane
parallel to the substrate and calculate the surface areas of
each segment. The obtained membrane allocation profiles lead
to morphological insights and yield an in vivo ratio of
attached and free membrane areas without cell fixation. As
an example, glass substrates were modified with different
proteins (fibronectin, laminin, concavalin A, extracellular
matrix gel, and both isomers of poly-lysine) and presented
to HEK293 cells to examine differences in cell morphology
and adhesion. We proved that proteins on a substrate could
increase the attached portion of a cell membrane, facing the
modified substrate, from an average of $32\%$ (glass) to
$45\%$ (poly-lysine) of the total membrane surface area.},
keywords = {Cell Adhesion / Cell Line / Cell Membrane: chemistry / Cell
Membrane: metabolism / Cell Shape / Extracellular Matrix:
chemistry / Humans / Image Processing, Computer-Assisted /
Imaging, Three-Dimensional: instrumentation / Imaging,
Three-Dimensional: methods / Surface Properties / J
(WoSType)},
cin = {IBN-2 / CNI},
ddc = {570},
cid = {I:(DE-Juel1)IBN-2-20090406 / I:(DE-Juel1)VDB381},
pnm = {Grundlagen für zukünftige Informationstechnologien},
pid = {G:(DE-Juel1)FUEK412},
shelfmark = {Engineering, Biomedical / Materials Science, Biomaterials},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:18621415},
UT = {WOS:000259059100003},
doi = {10.1016/j.biomaterials.2008.06.020},
url = {https://juser.fz-juelich.de/record/62887},
}