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@PHDTHESIS{Domanova:229177,
author = {Domanova, Olga},
othercontributors = {Berlage, Thomas},
title = {{A}utomated quantitative analysis methods for translocation
of biomolecules in relation to membrane structures},
address = {Aachen},
publisher = {Publikationsserver der RWTH Aachen University},
reportid = {RWTH-CONV-144150},
pages = {VI, 159 S. : Ill., graph. Darst.},
year = {2013},
note = {Zsfassung in dt. und engl. Sprache; Aachen, Techn.
Hochsch., Diss., 2013},
abstract = {Biological processes are complex study objects due to their
dynamic nature and structural diversity of living organisms.
To study dynamic processes statistically, numerous
experiments with multiple observations have to be performed,
and data have to be analyzed and evaluated. Owing to great
technological advances, gigabytes of data are being acquired
both in research and industry. Slow and subjective manual
analyses are not sufficient anymore, and automated
evaluation methods are required. The distribution of
biomolecules provides valuable information on a current
biological state. The distribution of biomolecules depends
on and is influenced by functions of biomolecules, and may
thus be used to detect abnormalities. The relatively young
research field extit{toponomics} describes the laws of
spatial arrangement of molecules. Several evaluation methods
have previously been developed, automatized and
standardized. However, no standard evaluation methods have
been reported to quantitatively analyze such an important
biological process like translocation of biomolecules.
Translocation processes are vital for living organisms. For
instance, substance inclusion into a cell or exclusion from
it represent a translocation. Furthermore, signaling
biomolecules translocate from the cytoplasm across the
nuclear membrane into the nucleus to influence gene and
protein expression. Investigating translocation processes
may help to understand complex biological functions. It may
also be used to analyze signaling events, or may even be
employed for diagnostics and therapy monitoring. Manual and
case-specific methods for quantitative translocation
analysis are known, but fail to be generally applicable.
Therefore, I have developed a novel generic automated
approach. The method is based on microscopy images of
biological samples. I have defined a generic method to
quantitatively express distribution of biomolecules in
numeric descriptors. Herewith, changes in distribution may
be analyzed using different biological samples. Thus, the
samples analyzed do not necessarily have to belong to a time
series. Furthermore, not only cell cultures, but also tissue
samples can be used for the analysis. Evaluations of cell
cultures are simpler due to homogeneity and spatial
separation of individual objects. However, structural
polarity of the cells can be seen only in tissues. I have
developed two workflows based on numeric descriptors for the
distribution of bio-ewline molecules. The first workflow
uses structure detection in images to localize the objects
for evaluation. The second workflow avoids this complex
operation by a structure-independent information extraction
strategy. Both workflows are generic and may be applied to
quantify a wide range of translocation processes.},
keywords = {Translokation (SWD) / Quantitative Analyse (SWD) /
Bildverarbeitung (SWD) / Biomolekül (SWD)},
cin = {120000 / 122620},
ddc = {004},
cid = {$I:(DE-82)120000_20140620$ / $I:(DE-82)122620_20140620$},
shelfmark = {J.3},
typ = {PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-opus-48168},
url = {https://publications.rwth-aachen.de/record/229177},
}
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